655 results about "Encryption system" patented technology

Certain examples described herein relate to at least a cryptographic system and a method of operating a cryptographic system. The cryptographic system may be implemented as a co-processor for performing post-quantum cryptographic functions. The cryptographic system has a set of bus interfaces for coupling to an external computing system, a cryptographic math unit and a control unit. The cryptographic math unit in certain examples is adapted to provide one or more masked modes of operation that secure the cryptographic operations against side-channel and non-invasive attacks. The method of operating a cryptographic system involves annotating secret data and tracking those annotations through one or more arithmetic operations.

The invention discloses a method and system for encrypting sensitive data based on a large model, relates to the field of data security, and solves the problem that a traditional fixed encryption strategy lacks dynamic adaptability. An encryption strategy container is generated through a data evaluation server, an evaluation module analyzes data content characteristics through a large model, a multi-dimensional sensitivity evaluation matrix and a use scene-risk level association model are established, and meanwhile the performance of an encryption module is tested; calculating a risk level according to a data sensitivity weight and a scene risk coefficient, triggering an alarm if the risk level exceeds a threshold value, otherwise, comparing a standard scene risk model to adjust encryption algorithm parameters, and generating a scene self-adaptive dynamic encryption strategy in combination with an encryption efficiency curve after performance compensation; and finally, the encryption gateway executes encryption. The method can improve the resource utilization rate through dynamic adaptive encryption, guarantees the stable efficiency through real-time performance compensation, improves the perspectiveness through intelligent prediction, reduces the safety risk and management cost through whole-process protection, and is suitable for a multi-industry sensitive data protection method.

The invention discloses a self-adaptive encryption system based on AI intelligent security management, which relates to the technical field of information security, and comprises a data acquisition module, a risk assessment module, an encryption algorithm selection module, a key generation and management module, an encryption execution module and an encryption effect feedback module, the data collection module is used for collecting various data in a system operation environment, including but not limited to network flow data, equipment state data and user behavior data; and the risk assessment module analyzes the collected data based on an AI algorithm and assesses the security risk level faced by the current system. The operation environment data is comprehensively collected through the data acquisition module, the security risk level is evaluated in real time through the risk evaluation module based on the AI algorithm, the adaptive encryption algorithm can be dynamically selected according to the risk, the defect that a traditional encryption system is fixed in strategy is overcome, and encryption pertinence and effectiveness are improved.

The invention discloses a multi-party collaborative signature management method and system based on a key segmentation technology, and relates to the technical field of fragmentation encryption, and the method comprises the steps: initializing data in an encryption system, collecting behavior data when a key anomaly occurs in history, deploying an AI anomaly detection model, generating a master key through a distributed key generation protocol, and generating a multi-party collaborative signature in the encryption system; deriving time by using a hierarchical deterministic algorithm, segmenting a master key to form key fragments, and distributing each fragment to different nodes; formulating a periodic rotation triggering mechanism; calculating an abnormal score of each node, judging whether each node has an abnormal risk or not, and marking the abnormal risk; for the marked nodes with the abnormal risk, fragments are redistributed for alternation; dynamically adjusting the threshold according to the abnormal score; a client initiates a signature request, abnormal nodes are eliminated, fragment node aggregation is screened, and collaborative signature is carried out.

The invention discloses a data distributed storage and reading method and system based on multi-modal protection, and relates to the technical field of multi-modal data encryption storage, and the method comprises the steps: receiving input data, and preprocessing the input data into multi-modal segmentation data; executing multi-key cooperative encryption on the data; carrying out distributed storage on the encrypted data; signing and broadcasting the distributed stored node information based on the block chain; and receiving a data query request of a user, obtaining the corresponding encrypted segmented data through the permission vector of the user, and decrypting and recombining the encrypted segmented data to obtain query data. Through the multi-modal feature fusion technology, the security of data storage is improved, meanwhile, a multi-level encryption system is constructed through multi-key cooperation encryption, the security of key distribution is effectively guaranteed, a distributed storage strategy based on dynamic weight is adopted, intelligent selection and load balancing of storage nodes are achieved, and the security of data storage is improved. And the data storage reliability and the system expansibility are improved.

The invention relates to the technical field of short video encryption, and discloses a short video active defense encryption system based on a device fingerprint and a dynamic confusion field, and the key point of the technical scheme is that the system comprises a device fingerprint generation module, a mother video encryption module, a slice encryption module, a behavior recognition and defense module and an encryption logic update regulation and control module. The system generates a unique device fingerprint hash value through a multi-modal feature, generates a dynamic confusion field in combination with a chaotic system and a quantum random number, realizes differential encryption of a mother video and slices, and is embedded with zero-knowledge consanguinity proof to support traceability verification. The behavior recognition and defense module monitors user behaviors in real time and dynamically adjusts a confusion strategy or triggers an active defense mechanism, and the encryption logic updating regulation and control module optimizes the updating frequency according to playing data and reduces the batch crawling risk. According to the invention, the security and anti-attack capability of the short video content can be effectively improved.

The invention relates to the technical field of block chains, and discloses a data encryption system for evidence collection and storage based on a block chain technology. According to the data encryption system for evidence collection and storage based on the block chain technology, a hash value can be generated based on a timestamp of data chaining, so that integrity of storage data is regulated and controlled, data tampering detection is realized, a user permission access range can be regulated and controlled in combination with a key distribution mechanism, sensitive data leakage is effectively prevented, and user experience is improved. The consistency of the encryption step is verified according to the intelligent contract execution logic, the multi-node synchronization error is eliminated, the error of the encrypted data storage link is verified through the Hash verification algorithm, and the consistency of the block data is ensured.

The invention discloses an image encryption system and method in an intelligent power grid environment, and aims to solve the problem that an encryption strategy is static and lacks self-adaptive capability in the prior art. The image encryption system comprises terminal equipment, edge equipment and central equipment, and a dynamic key generation unit on the terminal equipment generates a dynamic key by cooperatively utilizing a physical unclonable feature (PUF) of the equipment and a real-time load of a power grid; the hierarchical encryption unit performs encryption of different intensities based on image content complexity. A topology sensing transmission module of the system analyzes power grid topology by using a graph neural network (GNN) and dynamically optimizes transmission. In addition, the image encryption system further integrates low-density parity check code encoding and decoding and a self-adaptive decryption strategy so as to enhance the anti-interference capability. According to the invention, by constructing a sensing, decision-making and execution integrated adaptive security system, the security, high efficiency and robustness of smart grid image data transmission are significantly improved.

The embodiments disclose a cryptographically governed system for contextual memory management in artificial intelligence including a Contextual Orchestration and Scoped Memory Protocol (COSMP) and a Decentralized Memory Wallet (DMW), which enforce secure, auditable, and policy-driven access to AI memory. Traditional token-based memory tracking is replaced by memory capsules secure data units with embedded access policies and tamper-evident logs 5400 organized via a distributed ledger. Access control is managed through decentralized identifiers (DIDs) and private cryptographic keys, ensuring that all memory interactions are signed, verifiable transactions. This architecture establishes a universal trust layer for AI, enabling post-hoc compliance checks and privacy-preserving audits. Applicable across domains such as national security, healthcare, and autonomous systems, the invention enforces rigorous behavioral constraints and access governance within AI memory and decision-making processes.

The invention discloses an intelligent system and method for fusing mental health evaluation in an interest scene based on an education robot. The system realizes non-intrusive mental health assessment by constructing a technical architecture of'multi-modal biological feature anonymization-quantum hybrid encryption-federated learning privacy protection-dynamic risk assessment '. The method is characterized by comprising the following steps of: (1) generating irreversible biological characteristic codes by adopting a chaos random number generator, and realizing anonymized association by combining a double hash chain technology; (2) designing a quantum enhanced hybrid encryption system, fusing an SM4 algorithm, NTRU post quantum cryptography and quantum key distribution; (3) developing a dynamic scene generator, and naturally fusing psychological test questions into interest topics by using a generative adversarial network (GAN) and a curiosity engine; (4) constructing a multi-modal emotion analysis system, and combining an LSTM + CNN hybrid model to realize physiology-behavior-voice data fusion analysis; and (5) deploying a federated learning framework, and protecting model training data through differential privacy noise injection (epsilon = 0.5).

The invention discloses a lightweight hopping key encryption system based on a national cryptographic algorithm, relates to the technical field of data communication encryption, and solves the problem that an initial key and a hopping key are difficult to generate; a key hopping mode is difficult to analyze so as to detect an abnormal state; intelligent contract automatic key management is difficult to carry out; plaintext data is difficult to encrypt according to the analysis security index; the data verification index is difficult to analyze for data verification after the hopping key is decrypted; the operation state is difficult to monitor in real time to detect an attack mode; and the defense capability and the key hopping validity are difficult to assess, and the overall security assessment value is difficult to assess. According to the method, the state cryptographic algorithm is applied, the hopping key mechanism is combined, the key hopping rule is automatically executed by using the intelligent contract, and the overall security assessment value is comprehensively assessed by monitoring the running state.

Disclosed herein are systems and methods for threshold cryptography for cloud-based software-implemented hardware security modules. In an embodiment, an encryption system collects at least a decryption-threshold number of private-key shares from a secure store, where the private-key shares correspond to a public key generated in a first secure enclave as part of a secret key set, which also includes a first plural quantity of the private-key shares. The encryption system obtains an ephemeral-hardware-security-module-(eHSM)-encryption key by decrypting the collected private-key shares. The encryption system initializes, in a second secure enclave, a second instance of a first eHSM. The initialized second instance of the first eHSM is encrypted with the obtained eHSM-encryption key.

The invention relates to the technical field of edge computing, and discloses an edge computing intelligent terminal based on the Internet of Things technology, which comprises a data acquisition module, a network state monitoring module and the like. The data acquisition module can dynamically adjust the acquisition frequency and precision according to network and equipment parameters; the network state monitoring and evaluation module can accurately judge the network risk and timely switch the network to guarantee data transmission; and the equipment operation monitoring and state evaluation module can effectively maintain the stability of the equipment. And the data processing decision module optimizes the data processing flow by using a self-adaptive algorithm. Meanwhile, the system performance is improved by adjusting the weight coefficient according to the scene, and the security encryption system protects the data security comprehensively. The edge computing intelligent terminal effectively solves the existing technical problems, has remarkable effects in the aspects of improving data processing efficiency, guaranteeing equipment stability, enhancing safety, adapting to different scenes and the like, and is of great significance in promoting development of the Internet of Things industry.

The invention provides a data encryption method and device, a computer program product and a data encryption system. The method comprises the following steps: acquiring initial data and a network transmission rate; according to the network transmission rate, the initial data is segmented to obtain data to be transmitted, and the size of the network transmission rate and the size of a data segment are in positive correlation; performing multi-layer encryption on the to-be-transmitted data to obtain encrypted data; and sending the encrypted data to the target terminal. According to the scheme, the problems that a single-layer encryption method in the prior art is easy to crack and the data security is relatively low are solved.

The invention relates to a distributed data security storage and encryption system based on an AI technology. The system comprises a data acquisition and preprocessing layer used for acquiring original data and preprocessing the original data to obtain an identifiable data object; the AI identification and strategy decision layer is used for identifying data features of identifiable data objects based on an interpretable AI model to obtain an encrypted instruction packet; the encryption execution and distributed storage layer is used for performing encryption storage processing on the original data content according to an encryption instruction packet to obtain data access interface information; and the dynamic access control layer is used for obtaining user information in response to a data access request instruction of a user, recombining and decrypting the data by using the data distribution mapping index based on the access control strategy table, and returning a plaintext data fragment. By adopting the system, a high-strength, differentiated and multi-level security mechanism can be realized through the AI, intelligent encryption strategy decision is carried out, and the security requirements of multiple scenes and multiple types of data are met.

The invention discloses a virtual power plant terminal-oriented encryption transmission and self-healing control cooperative system, which comprises a dynamic encryption module, a hierarchical encryption system is constructed on the basis of a quantum chaos sequence and a national secret SM9 algorithm, a dynamic session key is generated in real time through an edge node, and terminal power data is subjected to hierarchical encryption; the self-healing control module integrates a block chain distributed account book and a deep reinforcement learning model, constructs a health degree portrait of the terminal equipment in real time, monitors a link state through a topology sensing algorithm, predicts a fault propagation path, and triggers communication link reconstruction and computing resource elastic scheduling for self-healing; the collaborative optimization module constructs an optimization objective function, balances encryption strength and self-healing efficiency, adopts a quantum topology photonic crystal optimization algorithm to determine a weight coefficient in the optimization objective function, and realizes global optimal matching of an encryption-self-healing strategy; and the edge computing node performs terminal-edge cloud cooperative training according to the global optimal matching strategy of the encryption-self-healing strategy.

The invention discloses an equipment identity authentication and data encryption method and related equipment thereof, and the comprehensive effects of identity credibility, key security superposition and channel encryption capability enhancement are realized by introducing a mixed key system and a double digital signature mechanism into an equipment identity authentication and data encryption process. Meanwhile, a national cryptographic algorithm and a post-quantum algorithm are adopted, and the two cryptographic systems cooperate in parallel in an authentication and encryption link, so that the whole system has a robust anti-attack ability in both a traditional computing environment and a potential quantum computing environment, the accuracy of identity authentication is ensured by a dual signature mechanism, and the counterfeiting difficulty and tampering detection ability are remarkably improved. According to the method, the bidirectional verification chain is constructed in the authentication process, the safety is guaranteed by using the mixed key in the session stage, the safety robustness and the expandability of the system are improved through multi-layer protection, and the whole-process protection of the identity, the key and the data is realized, so that the safety robustness and the expandability of the system are integrally improved.

The invention relates to the field of hardware encryption, and discloses a geological disaster monitoring scene-based low-power-consumption hardware encryption system, which comprises a layered architecture module for constructing a terminal sensing layer and a cloud platform layer, generating a three-dimensional risk thermodynamic diagram, and carrying out short-term early warning model and emergency deduction; the encryption and decryption module is used for carrying out multi-dimensional identity verification based on protocol layering and national secret algorithm fusion, carrying out dynamic management and eavesdropping monitoring on a secret key, optimizing a data processing flow, and establishing a secure channel to dynamically negotiate whether encryption or decryption is needed; the key management module is used for implementing a triple binding mechanism, carrying out processing and risk assessment on the monitoring data, and carrying out key backup and recovery by adopting a dynamic key period according to a generated risk level; and the safety protection module is used for performing intelligent management on the power consumption of the system based on the active state of the system, selecting a compression strategy according to the data type by adopting a dynamic compression algorithm, performing safety monitoring on hardware and firmware, performing intrusion monitoring on the system and performing automatic repair.

The invention discloses a wireless transmission anchor rod multipoint stress sensor system, which relates to the technical field of intelligent monitoring of geotechnical engineering and comprises a data sensing and acquisition module, a data processing and transmission module, a data receiving and storage module, a data analysis and decision module and a user interaction and management module. The technical key points are as follows: multi-protocol adaptive communication and quantum encryption are carried out, a multi-protocol adaptive communication stack is based on an improved near-end strategy optimization algorithm, intelligent switching of communication protocols can be completed in an extremely short time according to an actual environment, and the intelligent switching of the communication protocols can be completed in scenes such as mountainous area tunnels with complex and changeable signals. The problem that transmission of a traditional single protocol is prone to being interrupted is effectively avoided, continuity of data transmission is guaranteed, meanwhile, the integrated quantum key distribution unit adopts a BB84 protocol and is combined with a two-factor encryption system, data transmission safety is remarkably improved, quantum attacks can be effectively resisted in a monitoring scene with the extremely high requirement for data safety in confidential work, and the security of data transmission is improved. And the data leakage risk is avoided.

The invention discloses a disk decryption method, an encryption system and computing equipment, and relates to the technical field of decryption. The method comprises the following steps: an encryption service process establishes a session with a proxy process through a socket, and sends a password acquisition request to the proxy process through the socket; the agent process obtains an unlocking password based on the password obtaining request, and sends the unlocking password to the encryption service process; and the encryption service process decrypts the disk to be unlocked according to the unlocking password. In the application, the password acquisition parameter is transmitted through the password acquisition request, so that the situation of privacy data leakage is avoided, the modification of other password acquisition parameters is avoided, and the security of the privacy data is improved. And the socket is created by the proxy process and is bound with the blank file, so that mutual communication between the encryption service process and the proxy process can be realized only through the socket corresponding to the proxy process, the process of acquiring the unlocking password is simplified, and the acquisition efficiency of the unlocking password is improved.

Provided is a system (100) for securely generating, and multi-party sharing of, a Root of Trust (RoT) in a clustered cryptosystem (110) by way of a secure enclave (55) within each node (50). It improves cluster loading crypto command performance such as digital signing and signature verification without use of an HSM. Each node attests to a Remote Server (40), submits a join request, and receives obfuscated key splitter logic. A different Remote Server provides a deobfuscator code to the node. Nodes share attestation information amongst themselves for joining the cluster (110). A primary node generates the RoT and splits it into partitions, which are then shared with other nodes. Each node thereafter regenerates the same RoT. Communications between secure enclaves are secured over a TLS channel. Other embodiments are disclosed.

The invention provides a bank data dynamic encryption system based on a self-attention mechanism, and is applied to the technical field of data information security. A data analysis module in the bank data dynamic encryption system calculates association strength among data elements by using a self-attention mechanism, so that a dynamic adjustment module can flexibly adjust encryption parameters, such as key length and encryption rounds, according to strength weights. The dynamic adjustment ensures that the encryption strength is tightly matched with the data characteristics, and the security is optimized. And the encryption execution module is responsible for efficiently carrying out data encryption on the basis, so that the processing speed and the security are ensured to be both considered. In addition, the management module identifies the potential risk of the system by monitoring the performance index of the encryption algorithm in real time, and further ensures the stability and high efficiency of the system. In combination with performance optimization, evaluation of a test module and detailed system document support, the system not only improves the security protection level of data, but also maintains efficient operation performance.

The invention belongs to the technical field of network security, and particularly relates to a network security protection system and method based on an electric power emergency communication environment, and the system comprises a quantum-classical hybrid encryption system which is used for generating a dynamic key in real time; the biological characteristic driven dynamic trust ring is used for equipment identity authentication; the unmanned aerial vehicle relay network protocol is used for data transmission; the secret key after-reading burn-down protocol is used for information secret key after-reading burn-down; a key output by the quantum-classical hybrid encryption system is used for authentication encryption of a biological characteristic driven dynamic trust ring, an unmanned aerial vehicle relay network protocol transmits data encrypted by the quantum key, and a key burn-down protocol is used for reading encrypted data to trigger a key burn-down mechanism. According to the method, the key security is improved, the network attack difficulty is increased, the communication delay in a disaster is reduced, man-in-the-middle capture and attack can be immunized, and the problem of contradiction between the encryption strength and the real-time performance is solved.

Due to the appearance of dynamic structured mathematics responded by a global coupling structure, a great threat is generated to a traditional password system represented by AES-256 and information security. Most of current mainstream symmetric cryptographic systems such as AES and post-quantum encryption candidate schemes are based on discrete key space and structure modeling operation, the security of the current mainstream symmetric cryptographic systems depends on exhaustion infeasibility or mathematical difficulty complexity, and the current mainstream symmetric cryptographic systems and post-quantum encryption candidate schemes are difficult to resist attacks of adaptive dynamic coupling such as ADC. Therefore, the invention provides a novel ARE encryption system which is constructed by taking'non-modeling property 'as a core principle. A system key is generated by a non-numerable dimension perturbation function, has unique attributes of no structure, non-derivation, non-periodicity and the like, and is combined with an encryption method of a key function which cannot be covered, physical noise perturbation and a quantum random source to construct a new generation of ARE password architecture; the method has the capability of being incapable of being deduced, reduced in order, incapable of being converged to a key space and extremely high in structural modeling attack resistance, any analyzable optimization path can be blocked from the source, and it is ensured that ADC evolution attacks are completely resisted.

A system and method for optimizing data compression and encryption using reinforcement learning. The system analyzes incoming data streams to extract statistical features and data characteristics, which are processed by a reinforcement learning engine to automatically configure a multi-stage compression pipeline. Each compression stage transforms data into optimized distributions, applies Huffman coding, and maintains full encryption using homomorphic operations. A performance monitor tracks compression efficiency, processing speed, and output quality in real-time, providing feedback to continuously improve the reinforcement learning model's decisions. The system can dynamically adjust between one to five compression stages and select appropriate compression methods, including traditional algorithms or neural network-based approaches, based on data characteristics and performance requirements. All processing occurs on encrypted data without requiring decryption, ensuring complete data security throughout the pipeline. The adaptive nature of the system enables optimal compression performance across diverse data types while maintaining encryption integrity.

The invention relates to the technical field of nonlinear dynamics and chaotic systems, in particular to a chaotic system model construction method based on state variables and uncertain variables. Starting from the angle of combination of a state variable and an uncertain variable, a construction method with a unified form is proposed in combination with an amplitude undetermined matrix, the feasibility of the construction method is verified by using a lyapunov index definition, and the dynamic behavior change of the system under the condition that the system is influenced by unknown parameters is explored. The permutation entropy is used to explore system chaotic behavior changes caused by random natural numerical values and mathematical functions in random amplitudes, a three-dimensional continuous chaotic system model structure is used as a basis to expand into a four-dimensional state, and different complexities are used to display system complex characteristics in the four-dimensional state. A three-dimensional continuous system and a four-dimensional continuous system are applied to a classical chaotic system DNA color image encryption system. The method provided by the invention not only has theoretical innovation in the aspect of constructing a chaotic system, but also shows a relatively high practical value in practical application.

The invention discloses a mobile payment encryption system based on a data random algorithm, and the system comprises a collection module which is used for collecting multi-modal data, and constructing a cross-modal entropy source pool; the random seed generation module is used for extracting feature vectors from the cross-modal entropy source pool and generating initial random seeds; the time sequence self-adaptive random chain module is used for generating a random factor sequence based on the initial random seed recursion and forming a random chain structure; the encryption module is used for jointly encoding the random factor sequence and transaction data to be encrypted, generating a dynamic encryption parameter set and encrypting the transaction data; and the chain type updating module is used for collecting network environment parameters, updating the time sequence self-adaptive random chain and generating a new dynamic encryption parameter set so as to form a chain type evolved encrypted data sequence. According to the method, the cross-modal entropy source and the time sequence random chain are utilized to realize dynamic encryption of the mobile payment data, and the method has the advantages of high entropy randomness, strong attack resistance and high transmission security.

The invention discloses an online knowledge base platform for ensuring knowledge content quality and contributor rights and interests and a business model of the online knowledge base platform, and relates to the field of online knowledge bases. The platform integrates block chains, data encryption and artificial intelligence technologies, and aims to improve the quality of knowledge content and protect the rights and interests of contributors. The platform mainly comprises a block chain system, a data encryption system, an artificial intelligence system, a member management system, an auditor evaluation system, a knowledge content collection system, a knowledge content auditing system, an incentive management system, a template management system, a fund management system, a suggestion supervision system, a point transaction system, an advertisement management system and the like. Through a decentralized knowledge management mechanism, a contributor auditing and evaluating mechanism, a knowledge content providing and auditing mechanism and a contributor right protection mechanism, high quality of knowledge base content and fair reward of contributors are ensured, and sharing and communication of knowledge are promoted.

A collaborative transformation matrix learning system extends adaptive compression and encryption architectures through federated, privacy-preserving optimization. Each node analyzes local data distributions to generate anonymized distribution profiles using differential-privacy mechanisms, securely exchanging profiles and validated transformation matrices across a collaborative network. A trust and validation engine verifies mathematical properties and evaluates claimed performance metrics. Validated matrices are integrated into local optimization when trust and performance thresholds are satisfied. The system employs secure multi-party computation, homomorphic encryption, and conflict-resolution logic to ensure integrity of shared insights while preventing exposure of sensitive information. By combining collective learning with local adaptation, the invention accelerates convergence to optimal matrix configurations, mitigates cold-start inefficiencies, and improves compression-encryption efficiency and cryptographic strength across distributed deployments.

According to the safety coprocessor hybrid encryption method based on the SM2 / 3 / 4 domestic cryptographic algorithm, a novel hybrid encryption system based on the SM2 / 3 / 4 and considering encryption safety, efficiency and key management convenience is constructed on the basis of the characteristics of the SM2 algorithm, the SM3 algorithm and the SM4 algorithm, and the encryption / decryption and signature / verification process is achieved. And aiming at the efficiency problem of a domestic SM algorithm, an encryption / decryption and signature / verification scheme is designed and realized through pure software analysis and software and hardware (SW / HW) collaboration, so that optimal division of software and hardware is realized, and the algorithm efficiency is greatly improved.