Unmanned aerial vehicle dynamic cooperative combat system based on a2pt situation

Abstract

The application discloses an unmanned aerial vehicle dynamic cooperative combat system based on an A2PT situation, and belongs to the technical field of information warfare. The system comprises an A2PT situation core module, an unmanned aerial vehicle data acquisition and execution module, a quantum communication secure transmission module and a cryptographic technology protection module. The A2PT situation core module has big data processing and AI network penetration capabilities, and realizes situation closed-loop management. The unmanned aerial vehicle module comprises a reconnaissance and attack cluster, and can perform data acquisition and physical attack. The quantum communication module uses quantum key distribution technology to ensure cross-domain communication security. The cryptographic protection module provides full-process encryption and authentication for data, algorithms and instructions through symmetric and asymmetric cryptographic technologies. The modules interact through standard interfaces, realizing cooperative combat from situation awareness, analysis and decision to precise attack.

Description

Technical Field

[0001] This invention relates to the field of information warfare technology, specifically to a dynamic collaborative combat system for unmanned aerial vehicles based on A2PT situational awareness. Background Technology

[0002] In the current era of rapid development in modern information warfare, efficient acquisition, secure transmission, accurate analysis, and reliable protection of information have become core factors determining combat effectiveness. However, the current application of information warfare technologies still faces many unresolved challenges, failing to meet the operational requirements of multi-technology integration and end-to-end collaboration. Currently, existing information warfare systems have not yet formed a multi-module collaborative architecture centered on A2PT (Aspect-to-Personnel Response) situational awareness. Many functional modules operate independently, lacking a unified standard interface for data interaction and collaborative work. This results in poor compatibility and difficulty in integration between different technologies, hindering the formation of a closed-loop management system encompassing "situational awareness, data, and actions." In terms of situational awareness and analysis, existing big data processing units mostly adopt traditional storage and computing architectures, which have limited processing capabilities and cannot efficiently cope with TB-level and PB-level heterogeneous battlefield data. Moreover, the mining algorithms lack specificity and are difficult to accurately extract enemy combat patterns from historical data, thus failing to provide comprehensive data support for combat decisions. At the same time, existing AI network penetration technologies either focus only on the attack end or only enhance the defense end, failing to achieve coordinated action between attack and defense. The attack end cannot autonomously explore enemy network vulnerabilities and generate customized attack scripts, while the defense end mostly relies on traditional signature databases, making it difficult to identify new and unknown network attacks and failing to form a complete closed loop of situational awareness, analysis, decision-making, and execution.

[0003] In terms of drone applications, existing drone systems are mostly single reconnaissance or single attack types, failing to form a cluster architecture that coordinates reconnaissance and attack. Furthermore, the equipment carried by drones has limited functionality, making it impossible to simultaneously and efficiently collect high-definition image data and electromagnetic signal data, thus hindering their ability to penetrate deep into enemy territory and obtain comprehensive real-time battlefield data. At the same time, drones lack dynamic coordination mechanisms with situational awareness systems, resulting in a lack of precise situational guidance for operations. Moreover, the absence of swarm distributed collaborative control technology means that the failure of a single drone can easily lead to the interruption of the entire combat mission. This results in weak operational coverage and survivability, making it impossible to provide sufficient dynamic data support for situational awareness construction or efficiently execute precise strike commands issued by the situational awareness system. In terms of communication transmission, existing information warfare systems mostly use traditional communication technologies, which cannot achieve absolutely secure transmission of situational data and combat commands. Even if some systems attempt to apply quantum communication technology, they do not simultaneously integrate quantum key distribution units and quantum teleportation units. Quantum key distribution mostly uses traditional protocols, which cannot effectively resist attacks such as photon number splitting, and the key generation rate cannot be dynamically adjusted according to battlefield needs. At the same time, there is a lack of a sound quantum channel monitoring mechanism. When quantum interference is detected, it is impossible to quickly switch communication frequency bands or activate backup channels, which can easily lead to data transmission interruptions and cannot meet the needs of real-time communication in cross-domain information warfare.

[0004] In terms of information protection, existing cryptographic protection systems mostly employ single-type cryptographic algorithms, failing to organically integrate symmetric and asymmetric cryptography. This makes it impossible to simultaneously address the real-time encrypted storage of massive amounts of data and the security protection requirements of core algorithms and identity authentication. Symmetric cryptographic algorithms have low encryption speeds, unable to meet the real-time encrypted storage needs of terabyte-level battlefield data. Asymmetric cryptographic algorithms suffer from long key lengths and slow computation speeds, unsuitable for rapid identity authentication between combat units. Furthermore, the lack of effective coordination between digital signatures and timestamps fails to provide reliable uniqueness and timeliness guarantees for combat decision-making commands. The application of dynamic cryptography technology is also imperfect, with fixed and inflexible key update cycles, resulting in insufficient guarantee of key uniqueness and vulnerability to attacks by the enemy through key cracking. This makes it impossible to achieve full-process security protection for data collection, storage, analysis, and command issuance. In addition, existing information warfare methods lack a standardized process system. Data collection and transmission, situation building, information protection, command execution, and situation optimization are all independent processes, lacking effective coordination mechanisms. This prevents seamless collaboration between the various stages, leading to insufficient accuracy and timeliness of combat commands and hindering effective improvement in combat effectiveness.

[0005] In existing technologies, the independent application and imperfection of various information warfare-related technologies result in low operational effectiveness and weak security capabilities for the entire information warfare system. This makes it unable to cope with the complex and ever-changing scenarios of modern information warfare and fails to meet the military's requirements for efficient, secure, coordinated, and precise application of information warfare systems. Specifically, existing systems cannot achieve multi-module coordinated operation, lack sufficient dynamic data support for situational analysis, fail to coordinate attack and defense efforts, suffer from insufficient precision and reliability in UAV operations, have security vulnerabilities and are prone to interruption in communication transmission, have insufficient information protection layers and obvious vulnerabilities, and lack standardization and closed-loop optimization of operational procedures. These problems overlap, severely restricting the improvement of modern information warfare capabilities. There is an urgent need for an integrated information warfare system and methodology that can solve all the above pain points, is based on A2PT (Aspect-to-Person) situational awareness, and integrates UAVs, quantum communication, and cryptographic technologies to fill the gaps in existing technologies.

[0006] Currently, with the rapid development of quantum computing technology, traditional cryptographic systems face a significant risk of being cracked, and the cryptographic protection capabilities of existing information warfare systems are no longer sufficient to withstand the threats posed by quantum computing. Simultaneously, enemy network defense technologies are constantly evolving, rendering traditional network penetration and attack methods ineffective, necessitating AI-powered network penetration technologies capable of autonomous learning and vulnerability exploration. The widespread adoption of drone technology also places higher demands on its integration with situational awareness, communication, and defense systems, requiring the coordinated control and precise execution of drone swarms. However, existing technologies cannot achieve deep integration and synergistic optimization of these multiple technologies. Numerous obstacles exist in the connection between these technologies, with issues such as inconsistent standards, poor compatibility, and incomplete functionality being prominent. This results in the overall performance of information warfare systems failing to meet actual operational needs. Therefore, developing a modern information warfare system and methodology that can overcome all the shortcomings of existing technologies, strictly adhere to the requirements of multi-technology integration, and achieve full-process collaboration, multi-level protection, and full-scenario adaptability has significant practical implications and application value. Summary of the Invention

[0007] The purpose of this invention is to provide a dynamic cooperative combat system for unmanned aerial vehicles based on A2PT situational awareness.

[0008] To achieve the above objectives, this invention employs the following technical solution: an A2PT-based UAV dynamic collaborative combat system, comprising an A2PT situational awareness core module, a UAV data acquisition and execution module, a quantum communication secure transmission module, and a cryptographic protection module. Each module interacts with data through a unified standard interface, which adopts a standardized protocol design to ensure compatibility and efficiency of data transmission between modules, avoiding data loss, delays, or incompatibility issues, and achieving seamless collaboration and linkage between modules. The A2PT situational awareness core module consists of a big data processing unit and an AI network penetration unit. The big data processing unit adopts a distributed storage and parallel computing architecture. The distributed storage array can achieve distributed storage of TB-level and PB-level heterogeneous battlefield data, while the parallel computing architecture utilizes multi-node collaborative computation to significantly improve data processing speed, enabling rapid processing of TB-level and PB-level heterogeneous battlefield data with processing latency controlled within a reasonable range. A dedicated mining algorithm extracts enemy operations from historical data. The algorithm for mining combat patterns has been specifically optimized to accurately identify key information in historical data and extract core patterns such as enemy combat deployment, tactical preferences, and defensive vulnerabilities. The AI ​​network penetration unit integrates machine learning and deep learning technologies and adopts a multi-level neural network model. The attack end can autonomously explore various vulnerabilities in the enemy network, including system vulnerabilities, protocol vulnerabilities, and application vulnerabilities. It generates customized attack scripts based on the characteristics of the enemy network. The attack scripts are highly targeted, highly concealed, and have good attack effects. The defense end can analyze network traffic anomalies in real time. By establishing a normal network traffic model and comparing it with real-time traffic data, it can accurately identify new and unknown attacks without relying on traditional feature libraries. The two work together to achieve closed-loop management of situation awareness, analysis, decision-making, and execution. The situation awareness stage collects various battlefield data in real time, the situation analysis stage performs in-depth processing and analysis of the data, the situation decision-making stage generates scientific and reasonable combat plans, and the situation execution stage accurately issues decision instructions to each execution unit, forming a complete closed-loop management system.The UAV data acquisition and execution module comprises a reconnaissance UAV swarm and an attack UAV swarm. The swarm size can be flexibly adjusted according to battlefield needs. It is equipped with high-definition image acquisition equipment, electromagnetic signal receiving equipment, and precision-guided weapons. The high-definition image acquisition equipment can capture high-definition real-time images, clearly capturing the specific location and status of enemy targets. The electromagnetic signal receiving equipment can accurately capture various electromagnetic radiation signals generated by enemy network and communication equipment. The precision-guided weapons possess high-precision strike capabilities, enabling precise destruction of targets. The reconnaissance UAVs can penetrate deep into enemy territory to collect real-time battlefield data, possessing low-altitude penetration capabilities to evade enemy radar detection and collect various real-time data in the enemy's core areas, providing sufficient and accurate dynamic data support for the A2PT situational awareness core module. The attack UAVs receive commands from the A2PT situational awareness core module to carry out precise physical strikes against enemy network nodes, with strike errors controlled within a minimal range. UAV swarm technology can construct a distributed network, which is resistant to destruction. With its strong damage capability and wide coverage, the system allows for rapid replacement of individual drones after their failure, enhancing operational coverage and resilience. The quantum communication secure transmission module, based on quantum superposition and entanglement, utilizes the unique physical properties of quantum mechanics to achieve absolutely secure communication transmission. It integrates a quantum key distribution unit and a quantum teleportation unit. The quantum key distribution unit establishes quantum channels between the A2PT situational awareness core module and various combat units. These quantum channels are uneavesdroppable and tamper-proof, generating a shared key that is unique and random. Third-party eavesdropping causes quantum state collapse, which can be detected in real time, ensuring data security. The quantum teleportation unit enables real-time cross-domain information warfare communication, facilitating real-time data transmission and command interaction between different operational areas. When quantum interference is detected, the interference detection unit quickly identifies the interference signal, automatically switching communication frequency bands or activating a backup channel. The backup channel is independent of the main channel, ensuring continuous communication transmission.The cryptographic protection module integrates symmetric and asymmetric cryptographic units, which work together to balance encryption efficiency and security. The symmetric cryptographic unit employs high-speed encryption algorithms, with an encryption rate sufficient for massive data transmission and storage, used for real-time encrypted storage of massive amounts of collected data to ensure the original data is not stolen or tampered with. The asymmetric cryptographic unit is used for the security protection of AI core algorithms and models, as well as identity authentication between combat units. It employs a high-strength encryption mechanism to prevent the theft and cracking of AI core algorithms and models, ensuring the security of identity authentication between combat units and avoiding identity forgery. It also includes digital signature and timestamp units. Digital signatures provide uniqueness guarantees for decision-making instructions, ensuring they cannot be forged or tampered with. The timestamp unit provides timeliness guarantees for decision-making instructions, recording the specific time the instructions were generated to prevent reuse or tampering. Combined with dynamic cryptographic technology, the authentication key is updated periodically. The key update mechanism is flexible and controllable, ensuring the security and uniqueness of the key.

[0009] The four core modules of the information warfare system and their connection methods were clearly defined. A unified standard interface resolved the issues of poor compatibility and insufficient coordination among modules in existing technologies, achieving seamless collaboration. The dual-unit design of the A2PT situational awareness core module ensures rapid processing and accurate analysis of massive battlefield data while enabling coordinated network attack and defense, forming a complete closed-loop situational awareness management system and improving the efficiency and accuracy of situational awareness, analysis, decision-making, and execution. The cluster design and multi-functional equipment integration of the UAV data acquisition and execution module enabled coordination between reconnaissance and attack, improving the comprehensiveness and accuracy of battlefield data acquisition, as well as the accuracy and reliability of combat strikes. The application of swarm technology further enhanced the system's resilience and operational coverage. The quantum communication secure transmission module utilizes the properties of quantum physics to achieve absolute security in data transmission, solving problems such as eavesdropping, tampering, and interruption in existing communication technologies, and ensuring the secure transmission of situational data and combat commands. The cryptographic protection module integrates dual cryptographic units, balancing encryption efficiency and security, and achieving full-process security protection for data storage, core algorithm protection, and identity authentication. The combination of digital signatures, timestamps, and dynamic cryptography further enhances the system's anti-attack capabilities, providing comprehensive protection for system information security. The overall system design achieves deep integration of A2PT situational awareness, UAVs, quantum communication, and cryptographic technology, constructing an integrated information warfare system. This overcomes the limitations of single-application of existing technologies and improves the combat effectiveness and security capabilities of the entire information warfare system.

[0010] Furthermore, the big data processing unit of the A2PT situational awareness core module supports the integration of multi-source heterogeneous data, including image data, electromagnetic signal data, and historical combat data collected by UAVs. Image data covers information such as the location, shape, and quantity of enemy targets; electromagnetic signal data covers information such as the electromagnetic radiation frequency, intensity, and characteristics of enemy network and communication equipment; and historical combat data covers relevant data such as the combat process, combat plan, combat effect, and enemy performance in various types of information warfare. After standardized processing, all data is uniformly incorporated into the big data processing unit for management and analysis. The mining algorithm can extract enemy combat deployment patterns, tactical preferences, and defensive weaknesses through in-depth analysis of historical data, using various methods such as statistical analysis, correlation analysis, and cluster analysis. The parameters of the mining algorithm can be flexibly adjusted according to the actual battlefield situation to ensure the accuracy and practicality of the mining results, providing comprehensive, reliable, and accurate data support for the generation of combat plans. The combat plan generation stage can combine the enemy patterns obtained through mining to formulate targeted combat strategies, improve the scientificity and feasibility of combat plans, and avoid combat failures caused by blindly formulating combat plans. The scope of data processing for the big data processing unit was further clarified, covering real-time data collected by UAVs and historical combat data, ensuring the comprehensiveness of data sources. The design for integrating multi-source heterogeneous data solved the problems of data dispersion and ineffective integration and utilization in existing technologies, realizing centralized management and efficient utilization of various types of data. The optimized design of mining algorithms and the application of multiple methods improved the accuracy of historical data mining, enabling precise extraction of the core patterns of enemy operations, including combat deployment, tactical preferences, and defensive weaknesses, providing solid data support for the generation of combat plans and avoiding blindness in the formulation of combat plans. The flexible adjustability of mining algorithm parameters enabled the big data processing unit to adapt to different battlefield scenarios and respond to different enemy combat characteristics, improving the system's flexibility and adaptability. Through in-depth mining and utilization of historical data, it can help combat personnel better understand the characteristics of enemy operations, predict enemy actions in advance, and formulate targeted combat strategies, significantly improving the scientificity and feasibility of combat plans, providing strong support for combat victory, and further enhancing the situational analysis and decision support capabilities of the A2PT situational core module.

[0011] Furthermore, the defense end of the AI ​​network penetration unit in the A2PT situational awareness core module adopts a deep learning-based anomaly detection model. This model uses a structure combining multi-level convolutional neural networks and recurrent neural networks. Trained on a large amount of network traffic data, it possesses strong self-learning and anomaly recognition capabilities. This model does not rely on traditional feature libraries, which have shortcomings such as untimely updates and inability to identify new types of attacks. However, this anomaly detection model can continuously optimize its recognition model by autonomously learning network traffic characteristics, enabling it to accurately identify new and unknown network attacks, including new malicious code attacks, new network intrusion attacks, and new denial-of-service attacks. The accuracy of malicious code detection far exceeds that of traditional detection methods. Traditional detection methods rely on feature libraries and have low accuracy in detecting new malicious code. This model, by autonomously learning the behavioral characteristics of malicious code, can accurately identify various new types of malicious code, significantly improving detection accuracy. At the same time, it can quickly respond to network traffic anomalies, promptly issuing early warning signals after detecting anomalies and coordinating with the attacking end to take targeted defense and counterattack measures, ensuring the safe and stable operation of the network system and avoiding system paralysis or data leakage due to network attacks. The anomaly detection model structure of the AI ​​network penetration unit's defense end was clearly defined. The model, built using deep learning technology, possesses powerful autonomous learning and anomaly recognition capabilities, addressing the pain point of traditional defenses relying on feature libraries and being unable to identify new and unknown attacks. This significantly improves the comprehensiveness and effectiveness of network defense. The multi-level neural network structure design enables the model to deeply mine the characteristics of network traffic data, accurately distinguishing between normal and abnormal traffic, thus improving the accuracy and sensitivity of anomaly detection. The model does not rely on traditional feature libraries, avoiding defense vulnerabilities caused by untimely feature library updates. It can respond to various new and unknown network attacks in real time and adapt to complex and ever-changing network attack environments. The accuracy of malicious code detection far exceeds that of traditional detection methods, effectively identifying various new types of malicious code, reducing the damage caused by malicious code to the system, and protecting the security of system data and functions. The early warning and coordinated counterattack mechanism after anomaly detection can quickly respond to network anomalies and take timely defensive and counterattack measures to avoid serious consequences from network attacks, further enhancing the defense capabilities of the AI ​​network penetration unit, ensuring the network security of the entire information warfare system, and providing strong support for the stable operation of the system.

[0012] Furthermore, the reconnaissance UAV of the UAV data acquisition and execution module possesses low-altitude penetration capability, employs stealth design and anti-jamming technology, and can evade enemy radar detection and electromagnetic interference. It can fly stably in complex battlefield environments, penetrating deep into enemy territory, which is often the deployment area of ​​core enemy targets and key equipment. The reconnaissance UAV can collect real-time battlefield data in this area, and its electromagnetic signal receiving equipment can capture electromagnetic radiation signals from enemy network devices, including those generated by enemy routers, switches, servers, and other network equipment. Through analysis and processing of these electromagnetic radiation signals, it can accurately locate hidden enemy network nodes, which are often difficult to detect through conventional means but can be identified through electromagnetic signal capture. Through analysis, precise positioning of these nodes can be achieved, providing accurate target coordinates for attack drones. The error of the target coordinates is controlled within an extremely small range, ensuring that attack drones can accurately lock onto targets and carry out effective physical strikes. At the same time, real-time battlefield data collected by reconnaissance drones, including image data and electromagnetic signal data, can be transmitted in real time to the A2PT situational awareness core module through a quantum communication secure transmission module. This provides sufficient and accurate dynamic data support for the situational awareness construction and decision-making of the A2PT situational awareness core module, ensuring the accuracy of situational awareness construction and the scientific nature of decision-making. The flight path of reconnaissance drones can be planned and adjusted in real time through the A2PT situational awareness core module to adapt to changes in the battlefield situation and improve the security and effectiveness of data collection. The core performance and functions of reconnaissance UAVs were clarified. The application of low-altitude penetration capability, stealth design, and anti-jamming technology solves the problems of existing reconnaissance UAVs being easily detected and jammed by the enemy, and unable to penetrate deep into enemy territory to collect data, thus improving the survivability of UAVs and the security of data collection. The precise acquisition capability of the electromagnetic signal receiving equipment can effectively capture the electromagnetic radiation signals of enemy network equipment, achieving precise positioning of enemy hidden network nodes, solving the pain point of conventional methods being unable to detect hidden network nodes, and providing precise target coordinates for attack UAVs, ensuring the accuracy of strikes. The multi-type real-time data collected by reconnaissance UAVs provides sufficient dynamic data support for the A2PT situational awareness core module, solving the problems of insufficient dynamic data and inadequate situational awareness construction in the current system, and improving the realism and timeliness of situational awareness construction. The real-time flight path planning and adjustment function enables reconnaissance UAVs to adapt to complex and ever-changing battlefield situations, flexibly evade enemy defenses, improve the effectiveness and security of data collection, further enhance the data acquisition capabilities of the UAV data acquisition and execution module, and provide a solid foundation for situational awareness construction and operational decision-making of the entire information warfare system.

[0013] Furthermore, the UAV swarm in the UAV data acquisition and execution module adopts a distributed cooperative control algorithm. This algorithm enables real-time communication and collaborative operation among the UAVs within the swarm. Each UAV can autonomously share flight status, collected data, target information, and other relevant content. The failure of a single UAV will not affect the overall combat mission of the swarm. The mission of the failed UAV can be quickly taken over by other UAVs in the swarm, ensuring the continuity and integrity of the combat mission and preventing interruption of the mission due to the failure of a single UAV. The swarm can autonomously adjust its formation according to the battlefield situation, including dispersed formation, concentrated formation, and echelon formation. The swarm can be flexibly adjusted according to factors such as battlefield environment, target distribution, and defense situation, in various formations, to achieve full coverage reconnaissance and strikes over the target area. Full coverage reconnaissance ensures that no enemy target is missed, while full coverage strikes enhance the strike effect and maximize the destruction of enemy targets. The load balancing design among the drones in the swarm can reasonably allocate data collection and strike tasks, avoiding situations where some drones are overloaded and others are idle, thereby improving the overall combat efficiency of the swarm. At the same time, the swarm has autonomous obstacle avoidance capabilities, which can avoid enemy air defense fire and obstacles, enhancing the swarm's survivability and ensuring the successful completion of combat missions. The control algorithm and core functions of the UAV swarm were clarified. The application of the distributed cooperative control algorithm solved the problems of centralized control and weak damage resistance of existing UAV swarms, realizing distributed management and collaborative linkage of the swarm. The failure of a single UAV will not affect the progress of the entire combat mission, significantly improving the swarm's damage resistance and operational reliability. The autonomous adjustment function of the formation allows the swarm to adapt to different battlefield situations and flexibly respond to various battlefield environments, achieving full-coverage reconnaissance and strike of target areas. This solves the problem of fixed formations in existing UAV swarms, which cannot adapt to complex battlefields, and improves reconnaissance and strike capabilities. The comprehensiveness of the attack; the application of load balancing design, which rationally allocates combat tasks, improves the overall combat efficiency of the swarm, avoids resource waste, and ensures that the swarm can efficiently complete data collection and attack tasks; the possession of autonomous obstacle avoidance capability enhances the swarm's survivability, enabling it to effectively avoid enemy air defense fire and obstacles, reduce drone losses, and ensure the successful completion of combat missions; these designs of the drone swarm further enhance the combat capabilities of the drone data collection and execution modules, expand the combat coverage, improve the strike effect and combat reliability, and provide strong support for improving the combat effectiveness of the entire information warfare system.

[0014] Furthermore, the quantum key distribution unit of the quantum communication secure transmission module adopts a decoy state quantum key distribution protocol. This protocol effectively resists photon number splitting attacks by combining decoy state photons with signal state photons. Photon number splitting attacks are a common attack method in quantum key distribution, and traditional protocols struggle to defend against them effectively. The decoy state protocol can accurately identify such attacks, improving the security and stability of quantum key distribution. The key generation rate of the quantum key distribution unit can be dynamically adjusted according to battlefield needs, and the adjustment range can be flexibly set according to the actual application scenario. When the amount of battlefield data transmission is large, the key generation rate can be increased to meet the demands of massive data transmission. To meet confidentiality requirements, when the amount of battlefield data transmission is small, the key generation rate can be reduced to save system resources. The connection between the quantum key distribution unit and each module adopts a dedicated quantum channel. The dedicated quantum channel is independent of the conventional communication channel, avoiding interference from conventional communication signals and ensuring the security and stability of key distribution. At the same time, the quantum key distribution unit has a key storage function, which adopts an encrypted storage method to ensure that the key is not stolen, tampered with or leaked. The key storage capacity can be flexibly expanded according to battlefield needs to meet the key requirements of different scale operations. The key distribution process is traceable and can record the time, node, quantity and other relevant information of each key distribution, which is convenient for subsequent auditing and investigation. The core protocols and functions of the quantum key distribution unit (QKD) were clarified. The application of the decoy state quantum key distribution protocol solves the problem that existing QKD protocols are vulnerable to photon number splitting attacks, significantly improving the security and stability of QKD and ensuring absolute key security. The dynamic adjustment function of the key generation rate enables the QKD to adapt to different battlefield needs and flexibly handle different scenarios of massive and small data transmissions, satisfying encryption requirements while saving system resources and improving system resource utilization. The adoption of a dedicated quantum channel avoids interference from conventional communication signals, ensuring smooth and secure key distribution and solving the problems of susceptibility to interference and insufficient stability in existing QKD. The key encryption storage and capacity expansion functions ensure secure key storage and sufficient supply to meet the needs of operations of different scales. The traceability of key distribution facilitates subsequent auditing and investigation, improving system manageability. These designs further enhance the key distribution capabilities of the quantum communication secure transmission module, ensuring the security and reliability of encrypted transmission of situational data and combat commands, and providing strong support for the secure transmission of the entire information warfare system.

[0015] Furthermore, the channel monitoring program of the quantum communication secure transmission module can monitor the stability of the quantum state in real time. The channel monitoring program adopts a real-time detection algorithm to continuously collect relevant parameters of the quantum state, including the phase, amplitude, and polarization state of the quantum state. By analyzing these parameters, the stability of the quantum state can be accurately determined. When the intensity of the detected quantum interference signal exceeds a preset threshold, the preset threshold can be flexibly adjusted according to the battlefield environment and communication requirements to ensure the accuracy of interference detection. The communication frequency band switching or backup channel activation is completed within 0.1 seconds. The switching process is fast and smooth, without causing data loss or communication interruption, ensuring that the transmission of situational data and combat commands is uninterrupted. The backup channel adopts the same quantum communication standard as the main channel and has the same security and transmission efficiency as the main channel, enabling seamless switching with the main channel. At the same time, the channel monitoring program has an interference early warning function. When the interference signal intensity approaches the preset threshold, an early warning signal is issued in a timely manner to remind relevant personnel to pay attention to the communication status and take targeted protective measures. The channel monitoring program also has an interference source location function, which can accurately locate the source of quantum interference, providing data support for subsequent anti-interference measures and further improving the stability and security of quantum communication. The channel monitoring and switching functions of the quantum communication secure transmission module were clarified, along with the real-time detection and analysis capabilities of the channel monitoring program. This addresses the existing problems of ineffective monitoring and timely interference detection in quantum communication channels, enabling accurate assessment of quantum state stability and timely detection of quantum interference. The flexible adjustability of the interference detection threshold allows channel monitoring to adapt to different battlefield environments, improving the accuracy of interference detection and avoiding false or missed detections. The rapid switching function within 0.1 seconds solves the problems of easy interruption and slow switching in existing quantum communication after interference, ensuring the continuity of communication transmission and preventing operational disruptions due to communication interruptions. The severe consequences of commands failing to be issued and data failing to be transmitted; seamless switching and equivalent performance design of backup channels ensure the stability and security of communication transmission, and the efficiency and quality of data transmission are not affected after switching; interference early warning and interference source location functions can provide early warning of interference risks and accurately locate interference sources, providing strong support for the implementation of anti-interference measures and further enhancing the anti-interference capability of quantum communication; these designs comprehensively improve the stability, anti-interference capability and continuity of quantum communication secure transmission modules, ensuring smooth real-time communication in cross-domain information warfare and providing reliable communication guarantees for the collaborative operations of the entire information warfare system.

[0016] Furthermore, the symmetric cryptographic unit of the cryptographic protection module employs a block cipher algorithm. This algorithm processes data in fixed-length blocks, resulting in a highly efficient and rapid encryption process with an encryption rate of at least 10Gbps. This meets the real-time encryption and storage requirements for TB-level battlefield data, ensuring no data delay or loss during encryption and guaranteeing timely and secure storage of the collected raw data. The block cipher algorithm possesses high-strength encryption performance, effectively resisting various conventional cracking attacks and protecting data confidentiality. The symmetric cryptographic unit also features data decryption capabilities, with a decryption rate matching the encryption rate, enabling rapid decryption of massive amounts of data and ensuring timely access and analysis. The asymmetric cryptographic unit employs an elliptic curve cryptography algorithm. Compared to traditional asymmetric cryptography algorithms, linear cryptography algorithms feature shorter key lengths and faster computation speeds. Shorter key lengths reduce resource consumption for key storage and transmission, while faster computation speeds improve the efficiency of authentication and data encryption. This makes them suitable for rapid authentication between combat units, which can be completed in a very short time, ensuring the rapid issuance and execution of combat commands. Simultaneously, it provides secure protection for core AI algorithms and models by employing elliptic curve cryptography to encrypt these core technologies, preventing their theft, cracking, or tampering and protecting the system's core competitiveness. Furthermore, asymmetric cryptography units also possess key management capabilities, enabling full-process management of key generation, distribution, updating, and destruction to ensure key security and validity. The core algorithms and functions of the symmetric and asymmetric cryptographic units in the cryptographic protection module were clarified. The block cipher algorithm used in the symmetric cryptographic unit solves the problem of low encryption speed and inability to meet the encryption needs of massive data in existing symmetric cryptographic algorithms. The encryption speed is no less than 10Gbps, which can efficiently complete the real-time encrypted storage of TB-level battlefield data. At the same time, it has high-strength encryption performance to ensure data security. The fast decryption function ensures that encrypted data can be accessed and analyzed in a timely manner without affecting the efficiency of situation analysis and combat decision-making. The elliptic curve cryptography algorithm used in the asymmetric cryptographic unit solves the problems of long key length and long operation of traditional asymmetric cryptographic algorithms. Addressing the issue of slow computation speed, this feature reduces resource consumption and improves the efficiency of identity authentication and core algorithm protection. It is suitable for rapid identity authentication between combat units, ensuring the rapid issuance and execution of combat commands. The encryption protection of AI core algorithms and models prevents the leakage and cracking of core technologies, protecting the system's core competitiveness. The full-process key management function ensures the security and validity of keys, avoiding security vulnerabilities caused by improper key management. The collaborative work of symmetric and asymmetric cryptography balances encryption efficiency and encryption security, achieving comprehensive security protection for data storage, identity authentication, and core algorithm protection, further enhancing the protection capabilities of the cryptographic technology protection module.

[0017] Furthermore, the dynamic cryptography technology of the cryptographic protection module adopts a time-synchronized dynamic key generation mechanism. The time synchronization uses a high-precision time synchronization protocol to ensure time synchronization between each combat unit and the core module, avoiding inconsistencies in key generation due to time asynchrony. The key update cycle can be set to 1-10 minutes, and can be flexibly adjusted according to battlefield security requirements. When the battlefield security risk is high, the update cycle can be shortened to improve key security; when the battlefield security risk is low, the update cycle can be extended to save system resources. Each updated key is unique, and the key uses a random generation algorithm, resulting in unpredictable keys that cannot be detected by the enemy. The system can predict or crack keys, effectively preventing adversaries from launching attacks through key cracking. The dynamic key generation mechanism works in conjunction with digital signatures and timestamps. Digital signatures ensure the uniqueness and integrity of keys, while timestamps ensure the timeliness of keys. The collaboration of these three elements further enhances the system's identity authentication and data protection capabilities. The dynamic cryptography technology also has a key expiration mechanism. When a key exceeds its update cycle or a security vulnerability occurs, it automatically expires, preventing expired keys from being illegally used. It also has a key backup function, which can encrypt and back up the generated keys to avoid problems such as data decryption failure or identity verification failure due to key loss. The key backup data is stored in encryption to ensure the security of the backup keys. The core mechanisms and functions of dynamic cryptography technology are clearly defined. The time-synchronized dynamic key generation mechanism solves the problems of vulnerability and insufficient security of existing static keys. A high-precision time synchronization protocol ensures the consistency of key generation, avoiding key mismatches. The flexible adjustability of the key update cycle allows dynamic cryptography to adapt to different battlefield security scenarios, balancing security and resource utilization. It can improve key security in high-security-risk scenarios while conserving system resources in low-security-risk scenarios. The generation of unique random keys ensures the unpredictability and unbreakability of keys, effectively preventing attacks by adversaries through key cracking and improving the system's anti-attack capabilities. Collaboration with digital signatures and timestamps further strengthens the system's identity authentication and data protection capabilities, ensuring the uniqueness, integrity, and timeliness of keys. Key expiration mechanisms and backup functions prevent the illegal use of expired keys and the security risks caused by key loss, ensuring the reliability and security of dynamic cryptography. These designs of dynamic cryptography further improve the multi-layered protection system of the cryptographic technology protection module, enhance the system's information protection capabilities, effectively resist various key cracking attacks, and comprehensively protect the system's data security and identity authentication security.

[0018] Furthermore, the process includes the following steps: Step 1, the reconnaissance drone swarm of the UAV data acquisition and execution module penetrates deep into the target area. The target area can be flexibly set according to the combat mission, including enemy deep areas, core defense areas, network node deployment areas, etc., to collect real-time image data and electromagnetic signal data. The image data clearly records the location, shape, quantity, status, and other information of enemy targets, while the electromagnetic signal data accurately captures the electromagnetic radiation characteristics and parameters of enemy network equipment and communication equipment. Anti-interference technology is used during the acquisition process to ensure the accuracy and integrity of the acquired data, which is then transmitted to the A2PT situational awareness core module through the quantum communication secure transmission module's quantum channel. In the first step, the transmitted data is encrypted using quantum key distribution technology. The encryption process is real-time and efficient, ensuring that the data is not eavesdropped on, tampered with, or leaked during transmission. The transmission process also includes data verification functionality to check data integrity and prevent data loss or damage. In the second step, the big data processing unit of the A2PT situational awareness core module performs distributed storage and parallel computing on the collected data. Distributed storage enables secure storage and rapid retrieval of data, while parallel computing significantly improves data processing speed. It integrates multi-source heterogeneous data and extracts key features, including core information about enemy targets, key parameters of electromagnetic signals, and core characteristics of the battlefield environment. Simultaneously, historical data is mined. The AI ​​network penetration unit analyzes the enemy's operational patterns by combining real-time and historical data. It then performs intelligent analysis of the processed data, employing deep learning algorithms for in-depth data mining to identify enemy operational units and network nodes. This analysis clarifies the deployment location, operational capabilities, and defense status of enemy operational units, as well as the type, location, function, and vulnerabilities of enemy network nodes. Multiple operational plans are generated, and the optimal solution is evaluated using multi-dimensional assessment indicators, including operational effectiveness, operational risk, resource consumption, and execution difficulty, forming a complete A2PT situational awareness loop. The third step involves a cryptographic protection module that implements end-to-end encryption protection for both the data and the algorithm. The raw data in the acquisition phase is encrypted and stored using symmetric cryptography algorithms. The encrypted storage adopts a distributed encrypted storage method to ensure the security and accessibility of the data. In the situation analysis phase, the core AI algorithms and models are authenticated and protected using asymmetric cryptography. Authentication ensures that only authorized units can access the core algorithms and models, while encryption protection prevents the core algorithms and models from being stolen or cracked. In the decision command issuance phase, digital signature and timestamp technologies are used to ensure that the commands are tamper-proof and unforgeable. Digital signatures provide a unique identifier for commands, and timestamps provide a time-sensitive identifier for commands. At the same time, commands are encrypted during transmission to ensure the security of commands during the issuance process.Step four: The A2PT situational awareness core module sends optimal combat commands to the attack drone swarm via the quantum communication module. The command sending process has a priority sorting function to ensure that key commands are sent first. The attack drones locate enemy network nodes and carry out precision strikes. During the strike, real-time positioning and correction technology is used to ensure the accuracy of the strike. At the same time, the drones transmit strike effect data back to the A2PT situational awareness core module. The strike effect data includes target destruction, changes in the battlefield situation, and friendly losses. The AI ​​network penetration unit optimizes the situational analysis model based on the feedback data, adjusts the model's parameters and algorithms, and realizes dynamic situational updates. The dynamically updated situation can accurately reflect the current battlefield situation and provide reliable support for subsequent combat decisions. This study established a modern information warfare methodology based on the aforementioned system, forming a standardized and closed-loop operational process. The four steps are seamlessly connected and coordinated, resolving the problems of chaotic processes, independent stages, and poor coordination in existing information warfare methods, thus improving the standardization and efficiency of the operational process. Step one, data acquisition and encrypted transmission, ensures the accuracy, integrity, and security of the acquired data, providing a reliable data foundation for situation building. The application of anti-jamming technology and data verification functions further enhances the reliability of data acquisition and transmission. Step two, the situation building process, combines real-time and historical data, employing intelligent analysis and multi-dimensional evaluation to ensure the accuracy of situation analysis and the scientific nature of operational plans. The complete A2PT situation closed loop enables real-time updates and optimization of the situation, improving the accuracy of operational decisions. Step three, full-process encryption protection, realizes data acquisition, storage, and analysis. The system provides comprehensive security protection throughout the entire command issuance process, addressing the issues of incomplete protection and security vulnerabilities in existing information warfare methods. This ensures all-round protection of the system's information security and core technology security. Step four, command issuance and situation optimization, ensures the accurate issuance of combat orders and the precise execution of strike missions. The feedback of strike effect data and dynamic situation updates achieve a complete closed loop of "data-situation-action-feedback-optimization," enabling real-time adjustments to combat strategies based on changes in the battlefield situation. This enhances operational flexibility and adaptability, further improving combat effectiveness. The entire information warfare methodology strictly corresponds to the aforementioned system, achieving a perfect integration of system functions and combat processes. It fully leverages the advantages of each module, solving the problems of low combat effectiveness, weak security, and inaccurate decision-making in existing information warfare methods. It is adaptable to complex and ever-changing modern information warfare scenarios, significantly improving information warfare capabilities and the probability of victory.

[0019] This invention provides a dynamic cooperative combat system for unmanned aerial vehicles based on A2PT situational awareness, which has the following beneficial effects: This invention, based on A2PT (Aspect-to-Person Perception) situational awareness, integrates UAVs, quantum communication, and cryptographic technologies to construct an integrated modern information warfare system and method. Strictly adhering to all the claims, it effectively overcomes all the shortcomings of existing technologies, exhibiting significant beneficial effects and comprehensively enhancing the operational effectiveness and security capabilities of modern information warfare. Specifically, this invention constructs a complete system architecture comprising an A2PT situational awareness core module, a UAV data acquisition and execution module, a quantum communication secure transmission module, and a cryptographic protection module. Each module achieves efficient data interaction and collaborative work through a unified standard interface, completely solving the problems of independent module operation, poor compatibility, and high integration difficulty in existing technologies. It achieves deep integration and full-process collaboration of multiple technologies, forming a complete closed loop of "situational awareness - data acquisition - secure transmission - information protection - command execution - situational optimization," significantly improving the overall synergy and operational efficiency of the information warfare system, and meeting the operational requirements of modern information warfare for full-domain coverage and multi-domain collaboration.

[0020] The A2PT situational awareness core module consists of a big data processing unit and an AI network penetration unit. The big data processing unit adopts a distributed storage and parallel computing architecture, which can efficiently process TB-level and PB-level heterogeneous battlefield data with high processing speed and efficiency. At the same time, through dedicated mining algorithms, it can accurately extract enemy combat patterns from historical data, providing comprehensive and reliable data support for the generation of combat plans, solving the problems of insufficient processing capacity and weak targeting of existing big data processing units. The AI ​​network penetration unit integrates machine learning and deep learning technologies to achieve collaborative linkage between the attack and defense ends. The attack end can autonomously explore enemy network vulnerabilities and generate customized attack scripts to accurately penetrate enemy network defenses. The defense end can analyze network traffic anomalies in real time and autonomously identify new and unknown network attacks without relying on traditional signature databases, significantly improving the accuracy and effectiveness of network penetration and defense. The two work together to achieve closed-loop management of situational awareness, analysis, decision-making, and execution, ensuring the scientific and timely nature of combat decisions.

[0021] The UAV data acquisition and execution module comprises reconnaissance UAV swarms and attack UAV swarms, equipped with high-definition image acquisition equipment, electromagnetic signal receiving equipment, and precision-guided weapons. This enables coordinated reconnaissance and attack operations. The reconnaissance UAVs possess low-altitude penetration capabilities, allowing them to evade enemy radar detection and penetrate deep into enemy territory to collect real-time high-definition image and electromagnetic signal data. They accurately capture electromagnetic radiation signals from enemy network devices, pinpointing hidden enemy network nodes and providing ample and accurate dynamic data support for the A2PT situational awareness core module. This addresses the problems of incomplete data collection, inability to penetrate deep into enemy territory, and insufficient positioning accuracy in existing UAVs. The attack UAVs can accurately receive combat commands from the A2PT situational awareness core module and conduct precise physical strikes against enemy network nodes. Furthermore, the UAV swarm employs a distributed collaborative control algorithm, ensuring that the failure of a single UAV does not affect the overall swarm's mission. The swarm can autonomously adjust its formation based on the battlefield situation, achieving full coverage reconnaissance and strike capabilities over the target area. This significantly improves the coverage, resilience, and reliability of UAV operations, ensuring the precise implementation of combat commands.

[0022] The quantum communication secure transmission module, based on quantum superposition and quantum entanglement effects, integrates a quantum key distribution unit and a quantum teleportation unit, completely solving the problems of insecure transmission, susceptibility to eavesdropping, and easy interruption in existing communication technologies. The quantum key distribution unit employs a decoy-state quantum key distribution protocol, effectively resisting photon number splitting attacks and significantly improving the security and stability of quantum key distribution. Simultaneously, the key generation rate of the quantum channel can be dynamically adjusted according to battlefield needs, adapting to the transmission requirements of different combat scenarios. The quantum key distribution unit establishes dedicated quantum channels between the A2PT situational awareness core module and various combat units, generating shared keys. Third-party eavesdropping will cause quantum state collapse, which can be detected in real time, achieving absolutely secure transmission of situational data and combat commands, eliminating the risk of data eavesdropping and tampering. The quantum teleportation unit enables real-time communication in cross-domain information warfare. The channel monitoring program can monitor the stability of the quantum state in real time. When the strength of the detected quantum interference signal exceeds a preset threshold, it can complete the communication frequency band switching or activate the backup channel within 0.1 seconds, ensuring uninterrupted transmission of situational data and combat commands, and guaranteeing smooth coordination in cross-domain operations.

[0023] The cryptographic protection module integrates symmetric and asymmetric cryptographic units to construct a multi-layered, comprehensive information protection system. This effectively resists the risks of cracking brought by quantum computing and solves the problems of limited functionality and insufficient protection in existing cryptographic protection systems. The symmetric cryptographic units employ block cipher algorithms with an encryption rate of at least 10Gbps, meeting the real-time encrypted storage requirements of TB-level battlefield data and ensuring the security and reliability of the collected raw data. The asymmetric cryptographic units use elliptic curve cryptography, characterized by short key lengths and high computation speeds, suitable for rapid authentication between combat units. They also provide secure protection for core AI algorithms and models, preventing the theft of core technologies. The module is also equipped with digital signature and timestamp units, providing uniqueness and timeliness guarantees for decision-making instructions, eliminating the possibility of forgery or tampering. Combined with dynamic cryptography, a time-synchronized dynamic key generation mechanism is adopted, with a key update cycle set from 1 to 10 minutes. Each updated key is unique, effectively preventing attacks by the enemy through key cracking. This achieves security protection throughout the entire process of data collection, storage, analysis, and instruction issuance, comprehensively ensuring the system's information security.

[0024] This invention presents a modern information warfare method that strictly corresponds to system components, forming a standardized and closed-loop operational process. This process includes four steps: data acquisition and transmission, A2PT situation building, multi-level information protection, and command execution and situation optimization. Each step is seamlessly connected and coordinated, ensuring the standardization and efficiency of the operational process. This method achieves dynamic coordination between UAV data acquisition and A2PT situation building, organic integration of secure transmission of situational data and multi-level protection, and precise execution of operational commands and dynamic optimization of the situational model. It can optimize the situational analysis model in real time based on battlefield feedback data, adjust operational strategies, significantly improve the accuracy and timeliness of operational decision-making, ensure that operational actions can accurately adapt to changes in the battlefield situation, and further enhance operational effectiveness. Compared with existing technologies, this invention completely solves the limitations of single technology application, realizes the deep integration of A2PT situational awareness, UAVs, quantum communication, and cryptography, and constructs a dual security system of "absolutely secure transmission + multi-level encryption protection", a dynamic collaborative mechanism of "data-enabled situational awareness and situational awareness guiding action", and a standardized and closed-loop combat process. It significantly improves the combat effectiveness, security assurance capabilities, collaborative capabilities, and adaptability of information warfare systems, and can adapt to complex and ever-changing modern information warfare scenarios. It provides reliable technical support for the construction of modern information warfare systems and has extremely high practical value and promotion significance. Attached Figure Description

[0025] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0026] Figure 1 This is a flowchart illustrating the overall structure of the system of the present invention; Figure 2 This is a flowchart illustrating the internal structure of the catalytic pyrolysis reaction unit of the present invention. Figure 3 This is a flowchart of the method for producing nano-carbon materials by methane pyrolysis and the comprehensive utilization of thermal energy according to the present invention. Figure 4 This is a flowchart of the energy flow path of the system of the present invention. Detailed Implementation

[0027] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses consistent with some aspects of this disclosure as detailed in the appended claims.

[0028] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0029] How to use: System startup and module self-test The A2PT-based, multi-technology integrated modern information warfare system is activated, automatically triggering a full-module self-check process. Functional verification is performed sequentially on the A2PT situational awareness core module, the UAV data acquisition and execution module, the quantum communication secure transmission module, and the cryptographic protection module. This confirms the smooth data exchange between the unified standard interfaces of each module, preventing data transmission delays or incompatibility issues. Simultaneously, the connection status of the quantum channel, the operating parameters of the cryptographic algorithms, and the standby status and equipment integrity of the UAV swarm are checked. After ensuring all modules meet operational requirements, the system enters standby mode.

[0030] Unmanned Aerial Vehicle (UAV) Data Acquisition and Encrypted Transmission Combat commands are issued to the UAV data acquisition and execution module, dispatching a swarm of reconnaissance UAVs to execute missions. Leveraging their low-altitude penetration capabilities and stealth design, the reconnaissance UAVs evade enemy radar detection and penetrate deep into the target area. Utilizing onboard high-definition image acquisition equipment, they capture information such as the location, shape, and quantity of enemy targets, and through electromagnetic signal receiving equipment, they capture electromagnetic radiation signals from enemy network devices to locate concealed network nodes. The collected multi-source heterogeneous data is transmitted through a dedicated quantum channel in the quantum communication secure transmission module. The quantum key distribution unit uses a decoy state protocol to generate a shared key, encrypting the data and simultaneously monitoring the stability of the quantum states in real time. Upon detecting interference signals, it immediately switches the communication frequency band or activates a backup channel to ensure secure and uninterrupted data transmission.

[0031] A2PT Situation Building and Operational Plan Generation After receiving transmitted data, the big data processing unit of the A2PT situational awareness core module rapidly processes TB-level and PB-level battlefield data through a distributed storage and parallel computing architecture. It integrates real-time acquired image data, electromagnetic signal data, and historical combat data, using data mining algorithms to extract enemy operational deployment patterns, tactical preferences, and defensive weaknesses. The AI ​​network penetration unit activates a deep learning-based anomaly detection model to analyze the processed data and accurately identify enemy combat units and network nodes. Based on the analysis results, multiple operational plans are generated and evaluated from dimensions such as operational effectiveness, risk, and resource consumption, selecting the optimal plan and forming a complete closed loop of situational awareness, analysis, decision-making, and execution.

[0032] End-to-end information encryption protection The cryptographic protection module initiates a multi-layered encryption protection process. During the data acquisition phase, raw data is encrypted and stored using a block cipher algorithm with symmetric cryptographic units, achieving an encryption rate of at least 10Gbps to meet the real-time encryption requirements of massive amounts of data. In the situation analysis phase, elliptic curve cryptography with asymmetric cryptographic units is used to authenticate and protect the core AI algorithms and models, preventing the theft of core technologies. Before issuing decision commands, digital signatures and timestamps are added, combined with a unique key generated using dynamic cryptography technology, ensuring the uniqueness, timeliness, and immutability of the commands. The dynamic key update cycle can be flexibly set from 1 to 10 minutes depending on the battlefield risk.

[0033] Command execution and dynamic situation optimization The A2PT situational awareness core module transmits optimal operational commands to the attack drone swarm via the quantum communication module. Based on these commands, the attack drones conduct precise physical strikes against enemy network nodes. After the strikes are completed, the drones transmit data such as target destruction and changes in the battlefield situation back to the A2PT situational awareness core module. The AI ​​network penetration unit adjusts the parameters and algorithms of the situational awareness analysis model based on the feedback data, achieving dynamic situational updates. The updated situational awareness accurately reflects the current battlefield conditions, providing reliable support for subsequent operational decisions and ensuring closed-loop optimization and efficient execution of the entire operational process.

[0034] Example: Example 1: Implementation of Cross-Domain Battlefield Reconnaissance and Precision Strike Coordinated Operations System Deployment A modern information warfare system based on A2PT (Aspect-to-Personnel Response) posture and multi-technology integration was established, with the deployment and debugging of four core modules completed. The A2PT posture and multi-technology core module features a distributed storage and parallel computing architecture, integrating machine learning and deep learning algorithm models. The UAV data acquisition and execution module deploys reconnaissance and attack UAV swarms, with all UAVs equipped with and debugged with high-definition image acquisition equipment, electromagnetic signal receiving equipment, and precision-guided weapons. The quantum communication secure transmission module establishes a quantum channel, deploys quantum key distribution and quantum teleportation units, and completes the configuration of the decoy state quantum key distribution protocol. The cryptographic protection module completes parameter settings for symmetric and asymmetric cryptographic units, sets a dynamic key update cycle, and debugs digital signature and timestamp functions. All modules interact through a unified standard interface, and after completing system-wide integration testing, the system enters operational standby mode.

[0035] Reconnaissance mission execution Reconnaissance commands are issued to the UAV data acquisition and execution module. Leveraging their low-altitude penetration capabilities and stealth design, the reconnaissance UAV swarm penetrates deep into enemy territory. During flight, the UAVs evade enemy radar detection and electromagnetic interference, using high-definition image acquisition equipment to capture the deployment of enemy combat units and electromagnetic radiation signals from concealed enemy network nodes through electromagnetic signal receiving equipment, recording multi-source battlefield data in real time. The acquired data is transmitted through a dedicated quantum channel of the quantum communication secure transmission module. A quantum key distribution unit generates a shared key to encrypt the data, and a channel monitoring program monitors the stability of the quantum state in real time. No interference signals are detected throughout the entire process, and the data is securely transmitted to the A2PT situational awareness core module.

[0036] A2PT Situation Construction and Solution Generation After receiving data, the big data processing unit of the A2PT situational awareness core module integrates real-time collected data with historical combat data, and extracts enemy operational deployment patterns and defensive weaknesses through mining algorithms. The AI ​​network penetration unit activates anomaly detection models to analyze data and accurately identify the location and functional characteristics of enemy combat units and network nodes. Based on the analysis results, the system generates multiple combat plans, evaluates them from dimensions such as operational coverage, damage resistance, and execution efficiency, and selects the optimal plan for drone swarm coordinated strikes, forming a complete situational awareness closed loop.

[0037] End-to-end encryption protection The cryptographic protection module employs multi-layered protection. Raw data collected during the acquisition phase is encrypted and stored using block cipher algorithms with symmetric cryptographic units. During the situational analysis phase, the core AI algorithms and models utilize elliptic curve cryptography algorithms with asymmetric cryptographic units for authentication and protection. Before operational commands are issued, the system adds digital signatures and timestamps, combined with dynamic keys, to ensure that commands are tamper-proof and unforgeable.

[0038] Precision strikes and situation optimization The A2PT situational awareness core module transmits optimal commands to the attack drone swarm via a quantum channel. The drone swarm employs a distributed cooperative control algorithm to autonomously adjust its formation and conduct precise physical strikes against enemy network nodes. After the strike, the drones transmit battlefield situational change data back to the AI ​​network penetration unit, which optimizes the situational analysis model based on the feedback, achieving dynamic situational updates and providing support for subsequent operational decisions.

[0039] Example 2: Implementation of Operations to Ensure Communication Security in Response to Quantum Interference System Deployment Deploy a modern information warfare system based on A2PT (Aspect-to-Personnel Response) posture analysis, integrating multiple technologies, with a focus on enhancing the anti-jamming capabilities of the quantum communication secure transmission module. The core A2PT posture analysis module completed functional debugging of the big data processing unit and the AI ​​network penetration unit; the UAV data acquisition and execution module completed equipment calibration for reconnaissance and attack UAVs; and the cryptographic protection module completed the configuration of symmetric and asymmetric cryptographic algorithms and set a dynamic key update cycle. The quantum communication secure transmission module additionally deployed a backup quantum channel, optimized the interference detection threshold of the channel monitoring program, and entered operational status after completing full system functional verification.

[0040] Reconnaissance Data Acquisition and Jam Response A swarm of reconnaissance drones penetrates deep into enemy target areas to collect battlefield images and electromagnetic signal data. During data transmission, the channel monitoring program of the quantum communication secure transmission module detects that the quantum interference signal strength exceeds a preset threshold. The system immediately activates an emergency mechanism, switching to a backup communication frequency band and using a backup quantum channel to continue data transmission within a very short time. The quantum key distribution unit regenerates the shared key to ensure uninterrupted data encryption, and the collected data is ultimately securely transmitted to the A2PT situational awareness core module.

[0041] A2PT Situation Building and Strategy Formulation The A2PT situational awareness core module's big data processing unit processes received data, integrates multi-source heterogeneous information, and uncovers enemy operational patterns. The AI ​​network penetration unit analyzes data, identifies enemy devices and nodes implementing quantum interference, and includes them as key targets. The system combines the location of the interference source with the battlefield situation to generate an operational plan of "disrupting the interference source + reinforcing communication links," completing a closed-loop process of situational awareness, analysis, and decision-making.

[0042] Multi-level information protection The cryptographic protection module implements end-to-end encryption protection for collected data, core algorithms, and operational commands. Raw data is encrypted and stored using symmetric cryptography, the AI ​​core algorithm is protected using asymmetric cryptography, and operational commands are enhanced with digital signatures and timestamps. Combined with dynamic key technology, this ensures command security and effectively prevents the enemy from forging commands.

[0043] Instruction Execution and System Optimization The A2PT situational awareness core module issues operational commands, enabling a swarm of attack drones to locate enemy quantum interference device nodes and conduct precision strikes. After the strikes are completed, the quantum communication secure transmission module restores main channel communication, while the drones transmit battlefield data back. Based on the feedback, the A2PT situational awareness core module optimizes the situational analysis model, enhancing its ability to predict quantum interference and improving the system's operational adaptability in complex electromagnetic environments.

[0044] Example 3: Implementation of Core Algorithm Protection and Intelligent Offensive-Defensive Joint Operations System Deployment A modern information warfare system integrating multiple technologies based on A2PT (Aspect-to-Personnel Perception) posture was constructed, with a focus on strengthening the cryptographic protection module's ability to protect core algorithms. The A2PT posture core module completed the training of attack and defense algorithms for the AI ​​network penetration unit; the UAV data acquisition and execution module completed the collaborative control debugging of UAV swarms; and the quantum communication secure transmission module completed the deployment and testing of the quantum channel. The cryptographic protection module, targeting the core AI algorithms, configured a high-strength asymmetric cryptographic protection mechanism, optimized the dynamic key generation and update process, and entered operational standby status after completing system-wide integration testing.

[0045] Battlefield data acquisition and secure transmission A swarm of reconnaissance drones penetrated deep into the target area, collecting data on the distribution of enemy network nodes and the deployment of combat units. This data was then encrypted and transmitted to the A2PT situational awareness core module via a quantum communication secure transmission module. No interference was encountered during transmission, and the data was delivered intact and securely.

[0046] A2PT Situation Building and Intelligent Attack and Defense Solution Generation The A2PT situational awareness core module's big data processing unit integrates and analyzes collected data to uncover vulnerabilities in the enemy's network defenses. The AI ​​network penetration unit's attack end autonomously generates customized attack scripts, while the defense end activates anomaly detection models to monitor friendly network traffic in real time. The system combines offensive and defensive requirements to generate a coordinated operational plan of "intelligent penetration attack + network defense hardening," forming a closed-loop situational awareness system.

[0047] Core algorithm encryption protection The cryptographic protection module activates its protection mechanism. Symmetric cryptographic units encrypt and store collected data, while asymmetric cryptographic units provide high-strength encryption protection for the core AI attack and defense algorithms, preventing them from being stolen by the enemy. Before issuing operational commands, digital signatures and timestamps are added, combined with dynamic key technology, to ensure the uniqueness and timeliness of the commands. The dynamic key is updated according to a preset period, enhancing the system's resistance to attacks.

[0048] Offensive and defensive coordination and situational optimization The A2PT situational awareness core module issues commands, enabling the AI ​​network penetration unit's attack arm to conduct intelligent penetration attacks on enemy network nodes, while the defense arm intercepts enemy counterattack signals in real time. Simultaneously, a swarm of attack drones physically strikes key enemy network nodes. Upon mission completion, the drones transmit operational data, and the AI ​​network penetration unit optimizes its attack and defense algorithm models based on the feedback, updating the A2PT situational awareness and improving the accuracy and effectiveness of the system's intelligent attack and defense.

[0049] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A UAV dynamic cooperative combat system based on A2PT situational awareness, characterized in that: It includes an A2PT situational awareness core module, an UAV data acquisition and execution module, a quantum communication secure transmission module, and a cryptographic protection module. Each module achieves data interaction through a unified standard interface. The A2PT situational awareness core module consists of a big data processing unit and an AI network penetration unit. The big data processing unit adopts a distributed storage and parallel computing architecture, which can quickly process TB-level and PB-level heterogeneous battlefield data. It extracts enemy combat patterns from historical data through mining algorithms. The AI ​​network penetration unit integrates machine learning and deep learning technologies. The attack end can autonomously explore vulnerabilities and generate customized attack scripts, while the defense end can analyze network traffic anomalies in real time and identify new unknown attacks. The two work together to achieve closed-loop management of situational awareness, analysis, decision-making, and execution. The UAV data acquisition and execution module includes a reconnaissance UAV swarm and an attack UAV swarm, equipped with high-definition image acquisition equipment, electromagnetic signal receiving equipment and precision-guided weapons. The reconnaissance UAVs can penetrate deep into enemy territory to collect real-time battlefield data, while the attack UAVs receive instructions from the A2PT situational awareness core module to carry out precise physical strikes against enemy network nodes. The UAV swarm technology can build a distributed network to improve the combat coverage and damage resistance. The quantum communication secure transmission module is based on quantum superposition and quantum entanglement effects, and integrates a quantum key distribution unit. The quantum key distribution unit establishes quantum channels and generates shared keys between the A2PT situational awareness core module and each combat unit. Third-party eavesdropping will cause quantum state collapse and can be detected in real time. This module can realize real-time secure communication in cross-domain information warfare. When quantum interference is detected, it automatically switches the communication frequency band or activates the backup channel. The cryptographic protection module integrates symmetric and asymmetric cryptographic units. The symmetric cryptographic unit uses a high-speed encryption algorithm for real-time encrypted storage of massive amounts of collected data, while the asymmetric cryptographic unit is used for the security protection of AI core algorithms and models, as well as identity authentication between combat units. At the same time, it is configured with digital signature and timestamp units to provide uniqueness and timeliness guarantees for decision-making instructions, and combines dynamic cryptographic technology to update the authentication key regularly.

2. The A2PT-based dynamic cooperative combat system for unmanned aerial vehicles according to claim 1, characterized in that: The big data processing unit of the A2PT situational awareness core module supports the integration of multi-source heterogeneous data, including image data, electromagnetic signal data and historical combat data collected by UAVs. The mining algorithm can extract the enemy's combat deployment patterns, tactical preferences and defensive weaknesses through the analysis of historical data, providing data support for the generation of combat plans.

3. The A2PT-based dynamic cooperative combat system for unmanned aerial vehicles according to claim 1, characterized in that: The AI ​​network penetration unit of the A2PT situational awareness core module employs a deep learning-based anomaly detection model on its defense end. This model does not rely on traditional feature libraries and can autonomously learn network traffic characteristics to identify new and unknown network attacks. Its accuracy in detecting malicious code far exceeds that of traditional detection methods.

4. The A2PT-based dynamic cooperative combat system for unmanned aerial vehicles according to claim 1, characterized in that: The reconnaissance drone of the UAV data acquisition and execution module has low-altitude penetration capability, which can avoid enemy radar detection. The electromagnetic signal receiving device can capture the electromagnetic radiation signal of the enemy's network equipment, thereby locating the enemy's hidden network nodes and providing accurate target coordinates for the attack drone.

5. The A2PT-based dynamic cooperative combat system for unmanned aerial vehicles according to claim 1, characterized in that: The drone swarm in the drone data acquisition and execution module adopts a distributed collaborative control algorithm. The failure of a single drone will not affect the combat mission of the entire swarm. The swarm can autonomously adjust its formation according to the battlefield situation to achieve full coverage reconnaissance and strike of the target area.

6. The A2PT-based dynamic cooperative combat system for unmanned aerial vehicles according to claim 1, characterized in that: The quantum key distribution unit of the quantum communication secure transmission module adopts a decoy state quantum key distribution protocol, which can effectively resist photon number splitting attacks, improve the security and stability of quantum key distribution, and the key generation rate of the quantum channel can be dynamically adjusted according to battlefield needs.

7. The A2PT-based dynamic cooperative combat system for unmanned aerial vehicles according to claim 1, characterized in that: The channel monitoring program of the quantum communication secure transmission module can monitor the stability of the quantum state in real time. When the strength of the quantum interference signal exceeds the preset threshold, the communication frequency band switch or the backup channel is activated within 0.1 seconds to ensure that the transmission of situational data and combat commands is uninterrupted.

8. The A2PT-based dynamic cooperative combat system for unmanned aerial vehicles according to claim 1, characterized in that: The symmetric cryptographic unit of the cryptographic protection module adopts a block encryption algorithm with an encryption rate of no less than 10Gbps, which can meet the real-time encryption storage requirements of TB-level battlefield data. The asymmetric cryptographic unit adopts an elliptic curve cryptography algorithm, which has the characteristics of short key length and fast operation speed, and is suitable for rapid identity authentication between combat units.

9. The A2PT-based dynamic cooperative combat system for unmanned aerial vehicles according to claim 1, characterized in that: The dynamic cryptography technology of the cryptographic protection module adopts a time-synchronized dynamic key generation mechanism. The key update cycle can be set to 1-10 minutes. Each updated key is unique, effectively preventing the enemy from launching attacks by cracking the key.

10. The A2PT-based dynamic cooperative combat system for unmanned aerial vehicles according to any one of claims 1-9, characterized in that: Includes the following steps: Step 1: The reconnaissance drone swarm of the drone data acquisition and execution module penetrates into the target area to collect real-time image data and electromagnetic signal data. The data is then transmitted to the A2PT situational awareness core module through the quantum channel of the quantum communication secure transmission module. The transmitted data is encrypted using quantum key distribution technology. Step 2: The big data processing unit of the A2PT situational awareness core module performs distributed storage and parallel computing on the collected data, integrates multi-source heterogeneous data and extracts key features, and at the same time mines the enemy's combat patterns in historical data. The AI ​​network penetration unit performs intelligent analysis on the processed data, identifies enemy combat units and network nodes, generates multiple combat plans and evaluates the optimal solution, forming a complete A2PT situational awareness closed loop. Step 3: The cryptographic protection module implements full-process encryption protection for data and algorithms. The raw data in the collection stage is encrypted and stored using symmetric cryptographic algorithms. The core AI algorithms and models in the situation analysis stage are authenticated and protected using asymmetric cryptographic technology. In the decision command issuance stage, digital signature and timestamp technology are used to ensure that the commands are tamper-proof and unforgeable. Step four: The A2PT situational awareness core module sends the optimal combat instructions to the attack drone swarm via the quantum communication secure transmission module. The attack drones locate enemy network nodes and carry out precision strikes. At the same time, the drones transmit the strike effect data back to the A2PT situational awareness core module. The AI ​​network penetration unit optimizes the situational analysis model based on the feedback data, thereby achieving dynamic situational updates.

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