505 results about "On-the-fly encryption" patented technology

The invention relates to the technical field of medical terminal data secure transmission and real-time management and control, in particular to a bank medical intelligent terminal data secure transmission and real-time management and control system and method. The behavior analysis module is used for calculating threat indexes through federated learning, the strategy module is used for dynamically switching algorithms and isolating anomalies, and the audit module is used for block chain verification and zero knowledge verification to generate a report. According to the method, dynamic encryption and fragmentation cutting are driven through sensitivity grading labels, the accuracy of data protection is improved, a time sequence attack path is blocked based on cooperation of fragmentation time sequence reference and an encryption transmission protocol, and dual guarantee of decentralized auditing and tampering positioning is realized by combining block chain hash identification and zero-knowledge proof verification, so that the security of data protection is improved. And full-link safe transmission and real-time management and control requirements of medical terminal data are met.

The invention discloses a human resource management method and system based on data security. The method comprises the steps that multi-source human resource data are collected through a standardized interface, and sensitive levels are marked in a classified mode; calling a dynamic encryption engine based on the sensitive level and the data type, performing asymmetric encryption on the structured data, and performing hybrid encryption on the unstructured data; a dynamic hierarchical access control strategy is generated in combination with user roles and service scenes, and the permission range is adjusted in real time; laws and regulations such as GDPR and CCPA are analyzed through a compliance rule base, data operation legality is automatically verified, and illegal behaviors are blocked; k-anonymity and differential privacy technologies are adopted to desensitize sensitive data, and privacy protection and data availability balance are ensured; and recording a full-process operation log based on the block chain and generating a non-tampering audit report. The system comprises a data classification acquisition module, a dynamic encryption engine module, an access control engine module and the like. According to the method, the problems of data protection rigidness, compliance response lag and privacy-utility imbalance of a traditional HR system are solved.

The invention discloses an Internet of Things data transmission optimization system based on intelligent routing, and relates to the technical field of data transmission optimization. The heterogeneous network access module supports adaptive switching of multiple protocols such as 5G, NB-IoT and LoRa, and monitors link quality; intelligent routing decision selects an optimal path by means of deep reinforcement learning, and end-to-end delay is reduced; data distribution scheduling split data streams are transmitted in a multi-path parallel mode, and forward error correction is combined to guarantee reliability. The network state prediction uses an LSTM to predict bandwidth, and a route is adjusted in advance; the secure transmission integrates iris authentication and dynamic encryption. According to the invention, efficient, reliable and secure transmission is cooperatively realized, energy collection and dormancy strategies are combined, the equipment endurance is greatly prolonged, the network energy consumption is reduced, and the method is suitable for industrial control, telemedicine and other scenes with high requirements on real-time performance and reliability.

The invention relates to the technical field of financial data security, and discloses an intelligent ERP financial system data security management and authentication method. The method comprises the following steps: acquiring an original transaction data stream in an ERP system, extracting key financial fields, and dividing the key financial fields into a sensitive data set and a common data set according to a preset rule; a dynamic encryption strategy framework is constructed based on sensitive data set attributes, the framework comprises multiple levels of encryption strength parameters, and the corresponding encryption strength can be automatically matched according to the authentication level of an access request. And monitoring a system data access behavior in real time, collecting feature data, inputting the feature data into the anomaly detection model, and triggering access blocking when an output anomaly access probability exceeds a threshold value. And generating a periodic integrity verification instruction according to the sensitive data updating frequency, performing integrity verification by using a hash chain technology, recording a result and marking a tampering risk level. And based on the association relationship between the tampering risk level and the abnormal access probability, generating an updated security policy and synchronizing the updated security policy to each data access node.

The invention relates to the technical field of intelligent control, in particular to a dynamic encryption-based data link security management and control system and method.The dynamic encryption-based data link security management and control system comprises a dynamic encryption engine, a key management cluster, a link monitoring unit and a security policy execution array, the switching between the SM9 cryptographic algorithm and the quantum resistance NTRU algorithm is supported; the key management cluster realizes distributed key negotiation and storage through a block chain smart contract, and establishes a bidirectional authentication channel with the dynamic encryption engine; the link monitoring unit is integrated with a multi-dimensional flow probe, and continuously collects link delay jitter, data packet entropy characteristics and protocol compliance indexes; the security policy execution array is deployed at a boundary node of a data link, and is configured with a dynamic access control list and a hardware-level data purification module. Therefore, the problems of insufficient encryption algorithm resistance, significant key update delay, multi-dimensional threat sensing blind areas, dynamic strategy response delay and the like in the prior art are solved.

The invention discloses a market supervision data security protection method and system based on a dynamic encryption strategy, and relates to the technical field of information security. The method comprises the following steps: generating an initial seed input improved four-dimensional hyperchaotic system, and generating a dynamic encryption parameter set through chaotic mapping iteration; the method comprises the following steps: carrying out adaptive fragmentation on market supervision data to be encrypted to generate a data sub-block set, carrying out dynamic S-box-based symmetric encryption on odd index sub-blocks, carrying out a chaotic stream encryption mode associated with a current dynamic sub-key on even index sub-blocks, and generating a unique quantum chaotic fingerprint for each encrypted sub-block; a searchable encryption index is jointly constructed by using a post-quantum encryption algorithm and a lattice-based encryption algorithm and is used for carrying out query operation under the condition that data is not decrypted; the encryption security, privacy protection capability and quantum computing attack resistance of the market supervision data are remarkably improved, and meanwhile, an efficient, flexible and extensible data security protection scheme is provided.

The invention relates to the technical field of information security, and discloses a data security management system and method in an intelligent power grid, and the system comprises a dynamic encryption and key management module which is used for carrying out the encryption and key management of the data of the intelligent power grid, determining an encryption algorithm according to the sensitivity of the data, and generating a corresponding key, the dynamic encryption and key management module transmits encrypted data and key information to the adaptive access control module so as to ensure the security of data access; and the self-adaptive access control module is used for managing access permissions of the user and the equipment and performing dynamic authorization according to the attribute label and the context information. Through dynamic encryption and adaptive key management, an encryption algorithm and a key length are adjusted in real time according to data sensitivity and a network environment, a quantum key distribution technology is combined, high security and quantum attack resistance of a key are ensured, and then security and real-time performance of data transmission are ensured.

The invention discloses a container tracking management system and method. The method comprises the following steps: S1, carrying out dynamic encryption binding and multi-dimensional data acquisition on an RFID chip; s2, realizing real-time position data acquisition of the container under different environmental conditions through a multi-source signal fusion and error correction algorithm; s3, various sensor modules are installed inside and outside the container, and data processing is carried out through distributed edge nodes; s4, performing on-chain storage on total data generated in the transportation process through a Hash encryption algorithm, and realizing automatic data verification, state tracking and abnormity alarm in combination with an intelligent contract; s5, carrying out real-time dynamic modeling analysis on the transportation path and resource allocation, and dynamically adjusting the transportation plan by using a distributed scheduling strategy; and S6, integrating the real-time state data, the path optimization model and the transportation scheduling decision, and providing a report for a user. The method has the advantages of high positioning precision, high data security, high transportation efficiency and good real-time performance.

The invention discloses an enterprise registration archive sharing and shareholder right-of-knowledge guarantee system based on full-chain data tracing and auditing, and relates to the technical field of archive management. The system comprises an identity authentication module, an archive storage management module, an archive sharing module, a shareholder right of knowledge guarantee module, a comprehensive statistics module and a system security module. According to the system, full-chain tracing of archive data is realized by utilizing a block chain technology, all change operations are completely recorded, and the transparency of archive management is remarkably improved; the security and authenticity of the shared archive are ensured through electronic signature, watermark and two-dimensional code anti-counterfeiting technologies; shareholders can track stock equity states and change records of enterprises in real time and know enterprise change information in time through a dynamic notification mechanism, so that the right of knowing of the shareholders is comprehensively guaranteed; through dynamic encryption, authority management and abnormal behavior detection, the security of file storage and access is ensured, and data leakage and tampering are effectively prevented.

The invention relates to the technical field of display screen encryption, and discloses an encryption method and system for an LED conference display screen, and the method comprises the steps: collecting and analyzing conference scene data, and obtaining a conference feature vector, a content feature vector and user role information; performing multi-layer neural network processing to obtain a dynamic encryption demand score and a plurality of candidate encryption strategies; constructing a double-layer model based on the dynamic encryption demand score and a plurality of candidate encryption strategies; solving according to the double-layer model to obtain a global optimal encryption strategy; lED display content is scanned and graded in real time, and a multi-element content set is obtained; according to the method, the multi-level encrypted display data stream is generated based on the dynamic sensitivity level of the multi-element content set, decryption control is carried out, the decrypted display content which can be accessed by the authorized user is obtained, the conference scene, the content characteristics and the user behaviors can be analyzed in real time, the encryption strategy is adjusted in a self-adaptive mode, and multi-level and differentiated content protection is achieved.

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 relates to the technical field of system security, in particular to a computer storage file protection system which comprises a risk analysis module, a dynamic encryption module, an authentication management module and a behavior monitoring module. According to the method, the response speed and the personalized protection level of the file security are improved by automatically collecting location, time and user information parameters and executing context risk logic analysis, the system can provide customized protection schemes for different security requirements by dynamically adjusting an encryption mechanism and the key length, and the security of the file is improved. The system is allowed to strengthen protection measures under the high-risk condition, resource use is optimized under the low-risk condition, unnecessary performance burdens are avoided, through real-time monitoring and behavior analysis, the system can recognize and respond to abnormal behaviors in time, unauthorized access and data leakage are effectively prevented, potential threats to sensitive information are reduced, and the safety of the system is improved. The overall security management capability of the system is improved, and the continuity and effectiveness of data protection are ensured.

The invention provides a privacy data analysis method and system based on collaborative learning and dynamic encryption, and relates to the technical field of privacy, and the method comprises the steps: receiving original data of a plurality of participants, the original data of each participant being in an initial encryption state; performing secondary encryption on the original data of each participant by using the dynamic encryption key to obtain secondary encryption data; inputting the secondary encrypted data into a preset collaborative learning model, and decrypting the collaborative learning model by using a security computing protocol under homomorphic encryption in combination with a dynamic encryption key of each participant to obtain a privacy protection analysis model which can be used by each participant; when data analysis is carried out, the privacy protection analysis model is used for processing input data to be analyzed, and correctness of the analysis process is ensured through a verifiable computing technology; and based on a predefined access control strategy, only returning an analysis result that the participant has access to the participant to the corresponding participant.

The invention discloses a finance and taxation data intelligent management method and system based on encrypted storage, and relates to the technical field of enterprise finance and taxation management, and the method comprises the steps: collecting finance and taxation related data from a plurality of channels through a data obtaining module, carrying out the sensitivity evaluation of the data, and dividing the sensitivity grade; key generation and encryption strategy setting: making a corresponding encryption scheme according to the sensitivity level of the data, including generation of an encryption key and setting of a dynamic encryption strategy; data encryption and storage: carrying out encryption processing on finance and tax data by utilizing the obtained secret key and the encryption strategy, and safely storing a ciphertext; and data access and dynamic encryption maintenance: providing a controlled encrypted data access service, and executing dynamic security maintenance on the stored data according to a predetermined strategy. According to the invention, the finance level, the intelligent degree and the long-term compliance of finance and tax data protection are effectively improved.

The invention discloses an unmanned sweeper and cloud platform data interaction system based on hybrid encryption, and particularly relates to the technical field of communication interaction information security, which comprises an authority authentication module, a data encryption module, an information processing module, a master-slave authentication control module, a transverse trust management module and a communication scheduling module, an encryption strategy and a key template are dynamically matched through a task score and a mapping model, off-line identity authentication, transverse trust signature and a channel switching mechanism are supported, and the security of data transmission, the fault tolerance of the system and the cooperative reliability are improved under the scenes of task switching, network abnormity and the like; according to the method, a task-driven dynamic encryption matching mechanism is realized, and the data security and the resource efficiency are improved; a multi-level authentication and role signature map is constructed, and the collaborative credibility and fault-tolerant capability of the equipment are enhanced; and a priority index scheduling strategy is introduced to ensure that key data is preferentially transmitted in a high-fluctuation network environment, so that the overall stability and safety of the system are improved.

The disclosure provides an approach for cryptographic agility for multi-layer privacy-preserving data aggregation. Embodiments include receiving a request for dynamic cryptographic technique selection related to a data aggregation process involving a first aggregator device and a second aggregator device performing one or more computations on data provided from multiple endpoints. Embodiments include determining, based on contextual information, that the second aggregator device is associated with a confidential computing component and that the first aggregator device is not associated with any confidential computing component. Embodiments include selecting one or more homomorphic encryption techniques for protecting the data while in use by the first aggregator device based on the determining that the first aggregator device is not associated with any confidential computing component and selecting a confidential computing technique for protecting the data while in use by the second aggregator device.

The invention discloses a software query information management method and system, and belongs to the technical field of software information security, and the method specifically comprises the following steps: after a query request of a user is received, creating a dynamic topology network architecture according to semantic features of query contents; creating a virtual query container corresponding to the dynamic topological network in the isolated memory space, wherein the virtual query container generates a dynamic encryption channel bound with the current topological structure; dynamically embedding user permission labels into topological network nodes through an attribute-based encryption algorithm, and establishing a mapping relation between permission characteristics and network paths; when distributed query is executed in the virtual query container, the topological node connection weight is dynamically adjusted according to the real-time network load; before a query result is fed back to a user, data elements are recombined based on a reverse entropy value of an original topology network architecture; and when an abnormal access feature is detected, triggering a topological network structure dynamic failure mechanism.

The invention discloses a distributed data encryption and verification system and method based on a block chain, and relates to the technical field of block chains. The method comprises the following steps: dynamically matching an initial processing node and a transmission path according to data characteristics and node capability; selecting an optimal path and an encryption strategy by combining the node capability, the network state and the data security requirement; data fragmentation encryption transmission is executed, and the transmission quality is evaluated in real time; future transmission risks are predicted based on historical data, and path sustainability is evaluated; and adjusting the path according to the real-time verification value and the prediction feasibility, and updating the block chain record. Full-link traceable auditing is realized through block chain evidence storage, the dynamic encryption strategy and predictive path optimization are combined, the transmission efficiency is improved, the security risk is reduced, the energy consumption is reduced, and the method is suitable for a high-security demand scene.

The invention provides a data processing method and device for an integrated virtual employee care Saas platform. The data processing method comprises the steps of obtaining associated data of employees through the integrated virtual employee care Saas platform; the associated data comprises historical behavior data, working state data and emotion fluctuation data; adjusting and optimizing a preset psychological state recognition algorithm based on the associated data to obtain an adjusted and optimized psychological state recognition algorithm; evaluating the associated data based on the tuning psychological state recognition algorithm, generating a psychological state evaluation result of the employee, and automatically pushing care scheme information when the psychological state evaluation result of the employee triggers an early warning threshold value; and encrypting and storing the associated data by adopting a dynamic encryption algorithm. According to the invention, the accuracy of psychological state assessment is improved, and the data security is guaranteed.

The invention provides a geographic information data dynamic encryption method and system based on spatial-temporal characteristics. The method comprises the following steps: dynamically identifying a hot spot region by analyzing a timestamp, geographic coordinates and frequency data of a user access request, and generating a multi-dimensional access weight matrix fusing a time attenuation factor and a spatial distance factor; and dividing data block granularity according to the access popularity value in the matrix, and performing spatial segmentation on the geographic information data. A dynamic key seed is generated in combination with a space-time factor, a temporary encryption key is obtained through discrete logarithm operation, homomorphic encryption is implemented, and a space-time feature identifier is embedded. And during cross-mechanism aggregation, the authority is verified through the identifier, ciphertext superposition is completed, and secure data aggregation is realized. According to the method, through spatio-temporal dynamic encryption and authority verification, secure sharing and efficient aggregation of multi-mechanism geographic information data are realized.

The invention discloses an AI-based automatic connection and handshake protocol for a trusted data space connector. The AI-based automatic connection and handshake protocol comprises a data supply end connector, a data demand end connector and a platform operation end, the data supply end connector is used for collecting and preprocessing data; the demand end connector is used for receiving and processing data; the platform operation end is used for connection management, authority distribution and security auditing; the method has the beneficial effects that through automatic connection and an intelligent handshake protocol, manual intervention is reduced, and the data circulation cost is reduced; multi-factor authentication, dynamic encryption and privacy protection technologies are adopted to ensure the safety of the whole life cycle of the data; aI and machine learning technologies are introduced, so that the system can intelligently select an optimal strategy according to real-time network conditions and data features; interoperation and data sharing among different data spaces are realized, and circulation and value mining of data elements are promoted.

The invention provides a water conservancy information security protection method and system. The method comprises the following steps: S1, edge equipment physical security reinforcement; S2, dynamic encrypted data acquisition; S3, adaptive fragmentation redundancy transmission; a protection module is deployed in a water conservancy sensor and an RTU, equipment vibration, uncovering and environmental parameters are monitored, abnormal physical attacks or environmental overrun are detected, a secret key is automatically erased, a data protection mode is started, data leakage when equipment is physically damaged is prevented, data security of edge equipment is guaranteed, and the safety of the equipment is improved. And in cross-system data interaction, an MPC or federated learning technology is adopted, original data is locally reserved, and a block chain audit log is generated to record a calling behavior, so that data sharing is realized, data is ensured not to be locally out, data privacy is guaranteed, and a data calling tracing basis is provided.

The invention discloses a dynamic encryption method and a dynamic encryption device for secure transmission, and relates to the technical field of secure encryption and transmission, and the method comprises the steps: receiving a secure transmission task sent by a user side; performing security risk fuzzy detection to obtain a path risk fuzzy detection result; performing encryption optimization configuration to obtain an initial encryption strategy; obtaining current node update monitoring data corresponding to the current transmission node; inputting a transmission security risk prediction channel to obtain a current node prediction risk coefficient; and performing dynamic encryption optimization according to the current node update monitoring data to obtain a current node optimization encryption strategy, and performing secure transmission on communication transmission data. The technical problems that in the prior art, static encryption lacks flexibility, cannot adapt to complex transmission environment changes and transmission path safety risk assessment is insufficient, so that data transmission safety and reliability are insufficient are solved, and the technical effect of improving data transmission safety and reliability is achieved.

The invention provides a dynamic encryption communication method, system and device for an Internet of Things device, and a storage medium, and the method comprises the steps: obtaining the current geographic position information of the Internet of Things device, and determining the security demand level of the Internet of Things device according to the current geographic position information and a preset geographic position list of different security levels; acquiring a network performance index of a mobile network shared channel at the position of the Internet of Things equipment, and determining a congestion degree parameter of a surrounding network environment according to the network performance index; classifying according to the service type of the Internet of Things equipment to obtain a service volume level; and integrating the obtained security demand level, the congestion degree parameter and the service volume level, dynamically selecting a corresponding encryption algorithm to encrypt sensitive data of the Internet of Things equipment, and transmitting the encrypted data to a cloud server. By dynamically selecting the encryption algorithm and adjusting according to the location information, the security and the energy efficiency can be balanced in different scenes.

The invention discloses a self-adaptive grid dynamic encryption method for underground water pollution migration simulation, which belongs to the technical field of underground water pollution migration simulation, and comprises the following steps of: forming 0.05-meter super-resolution grids at the periphery of a dispersed pollution source through a local grid dynamic encryption technology triggered by a pollution source intensity gradient threshold; the pollutant frontal surface tracking error is greatly reduced, and the high-precision pollutant migration simulation capability is realized. Moreover, based on an intelligent grid reconstruction algorithm of a flux threshold, the number of calculation units is reduced by 62%, the time consumed by single simulation is shortened to 3.3 hours, and the overall mass conservation error is kept to be smaller than 1% while the calculation efficiency is improved. Meanwhile, for a heterogeneous aquifer, through a pollution flux and stratum permeability coefficient dual-drive encryption strategy, the solute transport prediction precision of the model at the boundary of a clay lenticular body is greatly improved, and the problems that in the prior art, the simulation precision of the periphery of a pollution source is insufficient, and the calculation efficiency is low due to global encryption are effectively solved.

The embodiment of the invention provides a data transmission method, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring timestamp information and to-be-encrypted transmission data; according to an HKDF key derivation algorithm, a first dynamic derived key is determined according to the timestamp information and a first identifier of a sending end device; performing encryption processing on the to-be-encrypted transmission data according to the first dynamic derived key to obtain target encrypted data; and sending the target encrypted data, the timestamp information and the first identifier of the sending end equipment to the receiving end equipment. According to the embodiment of the invention, a dynamic encryption scheme based on an HKDF key derivation algorithm is used for protecting end-to-end authentication and transmission and storage data encryption, the deployment project amount is simplified, and meanwhile, the data transmission and storage security is ensured.

The invention relates to the technical field of quantum communication and network security, in particular to a dynamic encryption method based on quantum key distribution, which comprises the following steps of: generating a multi-layer quantum entanglement state and adaptively setting a measurement basis in combination with a chaos scheduler; if the identity verification is qualified, quantum bits are measured at different levels, results are combined, and a shared quantum key is formed after Hash processing; the system end fragments plaintext data and encrypts the plaintext data by using the subkey segments; when abnormity is detected, entanglement purification or key updating is carried out immediately, and when communication is finished, high-fidelity entanglement resources are recycled and chaotic scheduler parameters are deleted. Multiple times of actual measurement and comparison show that the method can still maintain excellent safety and throughput performance in noise and attack environments.

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 relates to the technical field of data encryption, and discloses an intelligent data security encryption method in an edge computing environment. The method comprises the following steps: acquiring an original data stream, decomposing through discrete wavelet transform, and adding a random disturbance sequence; constructing a dynamic encryption strategy network, generating a dynamic key matrix and distributing an access control strategy; according to the data security level and the node load, adaptively selecting an encryption algorithm and generating an encrypted metadata label; verifying data integrity by using a decentralized consensus mechanism and a zero-knowledge proof algorithm; a key is updated through a key updating model based on a time decay function, and the key is stored in combination with a block chain technology. According to the method, the problems of data encryption, access control, key management and the like in the edge computing environment are solved, the security and integrity of the data are guaranteed, and the security and reliability of data processing in the edge computing environment are improved.

The invention relates to the technical field of network security, and discloses a protection system for network security authentication. The system comprises an identity verification module, a behavior analysis module, a threat detection module, a dynamic encryption module and a response processing module. The identity verification module fuses the multi-modal biological characteristics and dynamic token verification to generate a data set; the behavior analysis module extracts behavior time sequence characteristics by using a space-time convolutional neural network; the threat detection module constructs a topological graph based on the graph attention network to detect abnormity; the dynamic encryption module encrypts communication data by adopting a quantum key distribution and chaos sequence algorithm; and the response processing module generates a response instruction set for safety protection according to reinforcement learning. According to the method, the identity verification accuracy is effectively improved, abnormal behaviors and threats are accurately detected, dynamic encryption and intelligent response are realized, and the network security protection level is remarkably improved.