374 results about "Secure state" patented technology

The invention discloses a network space security intelligent monitoring and analysis system, and relates to the technical field of network security monitoring and analysis, and the system comprises a multi-source data collection module which collects multi-dimensional data in a full-link manner, and the collection frequency is dynamically adjusted along with a network load; the data preprocessing module cleans the fused data and generates a standardized analysis data set; the AI intelligent risk identification module identifies various safety risks in real time through a mixed deep learning model; the real-time response processing module starts differential processing according to a three-level mechanism; the threat traceability analysis module traces an attack link and generates a report; the security situation visualization module displays the security state in multiple dimensions; the data encryption storage module encrypts and protects data and performs double backup; and the system self-optimization module dynamically optimizes the strategy through incremental learning. The method is accurate in risk identification, timely in response processing, reliable in traceability and evidence storage, and efficient in cross-domain cooperation; terminal protection and third-party access control are enhanced, and network space security and stable service operation are comprehensively guaranteed.

The invention discloses an SM2 collaborative signature and encryption and decryption system and method fusing anti-quantum characteristics, and relates to the field of cryptography and information security. According to the method, an anti-quantum cryptographic algorithm and a national cryptographic SM2 cooperative computing framework are deeply integrated, and a key security system is constructed: SM2 sub-private keys, anti-quantum key pairs and public keys are acquired and generated through an anti-quantum algorithm software and hardware enhancement module, and the private keys are encrypted and stored and are regularly alternated; on the basis of anti-quantum collaborative signature, encryption and decryption modules, an anti-quantum verification mechanism is embedded, and data is transmitted in combination with a national secret TLCP protocol, so that signature, encryption and decryption operations are completed; the equipment integration and dynamic security control unit monitors a security state, calculates a threat index to generate a protection strategy, and dynamically switches a security mode, so that the problems of insufficient security, vulnerability to attacks and data tampering of a traditional SM2 algorithm under the threat of quantum computing are effectively solved; and the long-term anti-attack capability and the operation reliability of the equipment in a high-security demand scene are remarkably improved.

The invention relates to the technical field of front-end application development, in particular to a micro-front-end architecture-oriented cross-application state management, style isolation and resource collaborative loading method, which comprises the following steps of: constructing a state management module, establishing a unified state communication protocol based on a publishing / subscribing mode, and realizing safe state synchronization through an authority control mechanism; a style isolation module is constructed, a Shadow DOM and CSS rule rewriting double isolation strategy is adopted, dynamic style elements are automatically processed, and the problem of style pollution is thoroughly solved; constructing a resource coordinator module, and realizing dependent intelligent management and multi-version coexistence based on semantic version specifications; and the configuration management center uniformly coordinates the work of each module. According to the method, safe communication, reliable isolation and efficient resource utilization between micro front-end sub-applications are realized, three core problems of difficult state management, pattern conflict and resource redundancy in the prior art are solved, and the maintainability, the stability and the development efficiency of a large front-end project are remarkably improved.

The invention discloses a data security management method and device based on dynamic encryption and real-time anomaly detection, and the method comprises the steps: obtaining data from a diversified data source, and obtaining standard data; dynamically encrypting the standard data to obtain encrypted data; performing feature extraction on the encrypted data to obtain data stream features; performing anomaly detection processing on the data stream features by using a detection engine to obtain a detection result; when the detection result is normal, marking the encrypted data as a safe state, and storing the encrypted data into the distributed nodes; when the detection result is abnormal, the danger is handled according to the confidence score, and a danger assessment result is obtained; and according to a risk assessment result, optimizing parameters of the detection engine, and generating a log. Therefore, the problems of static encryption failure, detection lag, response stiffness and the like in the prior art are effectively solved.

The invention relates to the field of Internet of Things technology, data analysis and insurance claim settlement, in particular to a security Internet of Things and insurance claim settlement intelligent evaluation integrated system, which comprises a security state data acquisition module, a dynamic security portrait module, an accident traceability and responsibility intelligent division module and an automatic claim settlement evaluation module. According to the method, deep analysis of multi-source heterogeneous environment data and accurate representation of the safety state are achieved, the dynamic safety portrait module can capture the essential topological structure relation of the data by constructing the functions of topological feature extraction, state representation, multi-scale anomaly detection, risk prediction and the like, and high-precision recognition and risk prediction of gradient anomaly are achieved. After an accident occurs, a complete accident data chain can be constructed, the responsibility proportion of each party can be intelligently divided based on objective data, and the compensation amount can be automatically calculated, so that full-process automation from safety monitoring to insurance claim settlement is realized, the anomaly detection accuracy is greatly improved, and potential risks can be found in advance.

The invention relates to the technical field of power system safety, and discloses a safety early warning method and system for a power system data center. The method comprises the steps that a safety monitoring period threshold value is set, when the continuous operation duration of the data center reaches the standard, historical and real-time safety state summaries are synchronously obtained, the historical operation duration comprises historical operation duration and configuration parameters, and the real-time safety state summaries comprise current operation duration and configuration parameters. And searching a security data fluctuation set by calculating security difference measurement of corresponding parameters of the two types of summary. And when the set variation degree is greater than or equal to a variation threshold value, taking the time distance ratio between the data storage starting point and the historical acquisition point as well as between the data storage starting point and the current time point as an early warning trigger factor, and starting a safety data early warning response from the data storage starting point according to the factor. According to the method, historical and real-time data comparison is combined, accurate monitoring of the safety state is achieved, timely risk identification is assisted, and a safety barrier is built for operation of the data center.

The invention provides a data security protection system based on a reinforcement learning large model, and relates to the technical field of data processing, comprising the following steps: associating a historical attack chain feature library to extract corresponding attack behavior sequence features; fusing the knowledge-based data entity, the real-time environment baseline offset and the historical attack chain features to construct a comprehensive security state representation body; generating a protection strategy instruction set from the safety state representation body through a pre-training reinforcement learning large model; deploying a protection strategy instruction set in the zero-trust architecture, and collecting strategy effective time delay, a security entropy change gradient and a defense efficiency index to generate a feedback tensor; and constructing a reward function based on the feedback tensor, and updating strategy network parameters of the reinforcement learning model by adopting a near-end strategy optimization algorithm to form a closed loop. According to the invention, the intelligence, dynamic nature and adaptability of data security protection are improved.

Various aspects of the present disclosure relate to a network repository function (NRF) that receives a first signaling as a network function (NF) request from a NF, the NF request including a NF type, a NF identifier (ID), and NF security state information. The NRF verifies a NF security state based on the NF ID and the NF security state information. The NRF transmits a second signaling as a NF response, where the NF response includes a security verification of the NF request.

The invention discloses a control method of an electricity utilization information acquisition terminal with security situation awareness, and relates to the technical field of electricity utilization information acquisition. Multi-source state evaluation, command risk division, rule decision and execution feedback are no longer independent functions through operation modes, joint security state levels, control quotas, command risk levels, command quota state marks and mutual reference between local execution consistency indexes and collaborative domain execution consistency indexes. A technical system with a close coupling relationship is formed in the electricity utilization information acquisition terminal, so that the method is not only suitable for resident courts, special transformer users and important user scenes, but also capable of automatically updating operation mode definitions, safety state division thresholds, control quota parameters and safety control rules through version comparison after main station side strategy update messages are issued. And the terminal security control capability is continuously evolved along with operation experience and strategy adjustment, and a strong synergistic effect is embodied.

The invention relates to the technical field of traffic engineering facility monitoring, and particularly discloses a traffic engineering facility safety state monitoring system and method based on the Internet of Things, and the method comprises the steps: deploying distributed intelligent sensing nodes comprising multiple types of sensors and edge calculation units at key monitoring points of facilities; nodes collect data by adopting a dynamic self-adaptive sampling mechanism, and an edge computing unit preprocesses the data and performs preliminary abnormity early warning; the data is transmitted to a cloud platform through a hierarchical communication network; the cloud platform performs deep analysis by using a federated learning safety evaluation model, and calculates a safety index to generate an evaluation report; and when the monitoring value exceeds the threshold value, four-stage early warning is triggered corresponding to different inspection or disposal processes. According to the invention, through the whole process optimization of dynamic sampling-layered transmission-federated learning evaluation-multi-stage early warning, efficient, accurate and low-consumption monitoring of the traffic engineering facility safety state is realized, and the contradiction between data privacy protection and evaluation precision is solved at the same time.

The embodiment of the invention provides a security management method and device, a security chip, electronic equipment and a storage medium. The method is applied to a security chip, the security chip is connected with a management component of the computing device through a first interface arranged on first security processor firmware, a first storage medium is arranged on second security processor firmware of the security chip, and the method comprises the following steps: responding to a data access instruction; and running the first secure processor firmware and the second secure processor firmware, and executing an access operation of the measurement data corresponding to the data access instruction in the first storage medium based on a communication mechanism between the first secure processor firmware and the second secure processor firmware. According to the technical scheme, data communication between the management component and the second security processor firmware is realized, so that the management component can read the measurement data in the first storage medium, and the security state of the computing equipment is monitored and managed.

The invention relates to the technical field of data asset checking, and discloses an intelligent data asset checking system. The system comprises a hierarchical relationship judgment module, a storage state monitoring module, a safety state monitoring module, an asset value calculation module, a hierarchical disposal execution module, a storage strategy optimization module and other auxiliary modules. The hierarchical relation judgment module generates a topological graph, identifies an abnormal path and activates other monitoring modules; the storage and security state monitoring module outputs a health degree evaluation result and a security threat report respectively; the asset value calculation module is combined with the multi-dimensional data to generate a retention or migration decision; and the hierarchical processing execution module optimizes the storage position and the access authority accordingly. The full-process intelligent management of the data assets is realized, and the problems that omissions are easy to occur and a topological structure is difficult to present due to dependence on manual sorting in existing data asset checking, storage and security state monitoring are disjointed with a checking process, and a decision and an actual business demand are disjointed due to single value evaluation dimension are solved.

The invention discloses a vehicle collision early warning method, system and device and a storage medium. The method comprises the steps that first safety state information between a master vehicle and a slave vehicle is acquired through a V2V communication module; performing primary collision risk assessment on the master vehicle and the slave vehicle according to the first safety state information, and performing collision early warning; acquiring second safety state information between the master vehicle and the slave vehicle through a UWB ranging module; calculating a state data deviation based on the first security state information and the second security state information; when the state data deviation exceeds a preset threshold value, secondary collision risk assessment is conducted on the master vehicle and the slave vehicle according to the second safety state information, and collision early warning is conducted. The UWB technology is utilized to overcome the defects of the existing V2V technology in the aspects of positioning precision, data credibility and communication delay, high-precision verification is carried out, and secondary early warning is triggered, so that a vehicle collision safety protection system with master-slave cooperation and function complementation is constructed, and the purpose of early warning is achieved.

The invention relates to the technical field of data secure transmission, and particularly discloses an information data secure transmission method and system. The method comprises the following steps: S1, extracting and classifying information data features; S2, obtaining the security state of each transmission link; S3, matching the information data with the transmission links; S4, carrying out first optimization analysis on each transmission link; according to the invention, the to-be-transmitted information data is matched with the transmission link, and the transmission link is optimized through the preset first transmission optimization mechanism and the preset second transmission optimization mechanism, so that reasonable allocation of link resources is realized, real-time monitoring and dynamic adjustment capabilities are achieved, and the transmission efficiency is improved. A secure transmission solution is provided for information data of different risk levels, and the problem that a traditional method lacks a differential secure transmission strategy is effectively solved.

The invention provides an intelligent monitoring method and system for hanging basket operation, relates to the technical field of safety production, and solves the technical problems that in the prior art, warning is not timely, and abnormal behaviors cannot be effectively avoided. The method comprises the following steps: acquiring an operation image at the current moment and an operation instruction at the current moment; the operation image comprises a hanging basket device and an operator; identifying the state data of the hanging basket equipment and the operating personnel in the operation image; predicting a target state at the target moment based on the operation instruction and the state data; the target moment is any moment after the current moment; determining a state type at the target moment according to the target state; the state type comprises a safety state and a risk state; and if so, sending an alarm message. The method and the device are used in the intelligent monitoring process of hanging basket operation.

The invention relates to a multi-modal active safety margin evaluation and checking method and device and a storage medium, which are applied to the technical field of electric power spot market, and the method comprises the steps: constructing a state judgment-index self-adaption evaluation framework, and when a system is in a risk state, calculating an interval overlapping index to quantify the risk exposure degree; when the system is in a safe state, a safe distance index is calculated to quantify safe redundancy, the multi-modal index system overcomes the defect that information is unilaterally evaluated by a traditional single index, refined and differentiated evaluation on the degree of risk and the degree of safe redundancy is achieved, and more comprehensive information support is provided for scheduling decision making; by comparing the calculated index with the preset threshold value, an active checking signal which can be directly fed back to a market clearing model is generated, or a clear suggestion is provided for a dispatcher, so that the problem of disjunction between evaluation and decision in the prior art is solved, and integrated intelligent cooperation from state perception, quantitative evaluation to closed-loop correction is realized.

The invention discloses a safety state monitoring system and method for an intelligent box-type substation, and relates to the technical field of power detection, and the method comprises the steps: constructing an equipment fault propagation path set; mining weak abnormal feature information covered by background noise in the monitoring signal; inputting the weak anomaly feature information into a state evolution model of corresponding equipment; simulating a propagation process of the weak anomaly feature information along an equipment fault propagation path set by using a random walk algorithm, and predicting an evolution trend of an equipment abnormal state; generating an equipment risk dynamic distribution curve according to the evolution trend of the abnormal state and the dynamic deviation degree between the preset safety state of the equipment, and determining the risk level of the current safety state of the box-type substation; according to the invention, early abnormal accurate identification and dynamic risk assessment of the safe state of the box-type substation are realized, and the predictability and reliability of safe operation of the substation are effectively improved.

The invention relates to the technical field of energy internet, and particularly provides a multi-protocol adaptation layer service method and device, and the method comprises the following steps: S1, constructing an adaptation layer as an entrance for interaction with an external platform, and taking charge of protocol analysis, connection management and data transmission; s2, the data conversion engine undertakes a standardized conversion task of heterogeneous data formats; s3, the route management module dynamically selects an optimal interaction channel based on a multi-dimensional decision algorithm; s4, the security control layer integrates multiple security mechanisms including protocol-level security, application-level security and operation-level security; and S5, the state monitoring and disaster recovery module collects the operation index of each protocol channel in real time and displays the health state of the system through a visual panel. Compared with the prior art, the method can improve the reliability and safety of the system, supports the quick butt joint with an external load side platform, and is suitable for the scenes of demand response, energy transaction and the like.

A method of securely communicating a message in a communication system comprises receiving, by a secure messaging platform, a message at a receiving step. The receiving step may include at least one of: confirming that the message is secure, encrypting the message, confirming that the message includes a digital signature, or generating and associating a digital signature with the message and its sender. The method includes transmitting, by the secure messaging platform, the message at a transmission step. The method includes delivering, by the secure messaging platform, the message at a delivery step. The message is maintained in a cryptographically secure state during each step of the method, and each encryption and signing operation is logged to enable end-to-end auditability of the message through the receiving, transmission, and / or delivery steps.

The invention discloses a chip mounter service logic control method and system based on an abstract component and a medium, and relates to the technical field of industrial automation control, and the system comprises a command cache queue module which is configured to receive and cache commands issued from an upper layer; the command parameter verification module is configured to verify the legality of the command parameters cached by the command cache queue module in real time; the user command monitoring module is configured to distribute the commands passing the verification to different units according to command types; and the equipment control flow monitoring module is configured to monitor a command execution state of a hardware layer, and if the command execution state is not received within a specified time, an overtime event is reported to the user command monitoring module and a system is coordinated to enter a safe state. According to the scheme, a unified business logic control center and an abstracted component control model are constructed, component cooperative control logic is completely stripped from specific hardware implementation, and centralization, closed-loop and uniqueness of command execution are achieved.

The invention relates to a computing power network security resource cooperative scheduling method, system and device and a medium. The method comprises the following steps: acquiring resource state information and security state information of a plurality of computing power nodes; according to the resource state information and the security state information, carrying out credibility evaluation on the plurality of computing power nodes to obtain credibility scores of the plurality of computing power nodes; obtaining a service request, and analyzing the service request to obtain resource demand index information of the service request; the resource demand index information comprises a computing power demand, a network resource demand and a security resource demand; according to the credible score and the resource demand index information, performing resource matching processing on the plurality of computing power nodes and the service request to obtain a resource scheduling strategy; and generating a scheduling instruction according to the resource scheduling strategy. By adopting the method, the comprehensive requirements of the service on the computing power, the network and the security can be accurately matched, and the resource utilization rate, the service execution reliability and the security protection capability of the computing power network are improved.

The application relates to the technical field of network communication, and discloses a communication channel dynamic encryption method and device, which comprises the following steps: collecting communication scene related information and security state related information to obtain an evaluation result; selecting a corresponding encryption scheme based on the evaluation result to establish an encryption link; transmitting an updated key library by using the encryption link to complete seamless updating of the key library; and binding the encryption scheme and session information and optimizing session parameters based on the encryption link and the updated key library to obtain encrypted transmission of communication data. The communication channel dynamic encryption method and device are characterized in that, through three-dimensional evaluation of data sensitivity, network security level and historical interaction security record and dynamic adaptation of the encryption scheme, high-sensitivity data, dangerous network environment and other scenes can be subjected to high-intensity encryption with high pertinence, low-sensitivity data and safe network environment can be subjected to moderate encryption strength, transmission efficiency caused by excessive encryption is avoided, and security risks caused by insufficient encryption strength are reduced.

The application discloses to the technical field of power network, specifically is a kind of power network vulnerability analysis system and method based on virtual attack and defense deduction, comprising: data acquisition module, for responsible collection various data of power network, the various data include network topology structure data, equipment configuration data, operating state data, security log data;Threat intelligence integration module is used to collect, integrate network security threat intelligence from the world, and with threat intelligence platform establishes data interface, realizes the automatic synchronization and update of threat intelligence.The application can simulate new attack means, monitor power network security state in real time by continuous virtual attack and defense deduction, combined with machine learning algorithm optimization attack and defense strategy.Even if there is unprecedented attack mode, the application can quickly identify potential threats through attack and defense confrontation, greatly improve the discovery ability of new and unknown vulnerabilities, and respond to network security risks in time.

The invention relates to the technical field of electric power intelligent terminal equipment safety state detection, and provides an electric power intelligent terminal equipment safety state detection method and system, equipment and a medium, and the method comprises the steps: carrying out the preprocessing of equipment operation data obtained according to the equipment type of target intelligent terminal equipment, and obtaining to-be-analyzed equipment operation data; according to the to-be-analyzed equipment operation data, performing state identification based on an equipment security state detection model to obtain an equipment security state detection result; state recognition in the equipment security state detection model comprises the steps of performing modal feature extraction on to-be-analyzed equipment operation data, performing intra-modal feature enhancement, inter-modal semantic association and multi-modal adaptive dynamic fusion on multi-modal features in sequence, and performing state recognition on fused features. According to the method, the space-time relevance among the multi-modal data and the distribution difference of the equipment data can be effectively captured, the self-adaptive high-precision fusion of the multi-source data is realized, and the high efficiency and precision of safety state detection and anomaly positioning are effectively improved.

The invention relates to the technical field of intelligent regulation and control, in particular to a goaf wireless detection low-power-consumption management system which comprises a parameter initialization module, a data integration module, a safety evaluation module, a strategy response module, a node dormancy regulation and control module and an operation efficiency feedback and parameter tuning module. Performing parameter initialization on the sensing monitoring nodes in the target area to obtain low-power-consumption operation control parameters; acquiring multi-parameter environment data of the target area; performing risk threshold evaluation on the safety state of the target area to obtain a safety evaluation result; performing strategy response on the sensing monitoring nodes to obtain an instruction control strategy; performing adaptive regulation and control on the activity duration and the dormancy duration of the sensing monitoring node to obtain a dormancy regulation and control instruction; monitoring an execution state and energy consumption data of the instruction control strategy and the dormancy regulation and control instruction to obtain an operation efficiency evaluation report to perform synchronous regulation and control on low-power-consumption operation control parameters; according to the invention, the efficiency of low-power-consumption management of wireless detection of the goaf can be improved.

The application discloses a kind of multi-level distribution unit fusion feature safety evaluation method and system, it is related to multi-level distribution unit fusion technical field, the application includes data fusion processing, feature extraction, safety evaluation coefficient calculation, safety state analysis and control instruction generation, the consistency and availability of multi-source heterogeneous data are effectively promoted by data fusion processing, by comprehensively extracting multidimensional features such as steady state, transient state and event, system operating state can be fully described;Further based on multiple safety evaluation coefficients and comprehensive safety evaluation coefficients, hierarchical analysis from data to function to control layer is realized, the accuracy of safety state judgment is improved;Finally, safety state identification and strategy library are combined to dynamically generate control instruction, realize the closed-loop management from state perception to decision execution, greatly improve the response speed and control precision of system in response to abnormal working condition, enhance the reliability and toughness of distribution system operation.

An orientation fault detection system is configured to detect improper installation of the dynamic active control system (DACS) controller / software module by receiving data output from a plurality of sensors to determine whether an orientation fault is detected corresponding to an improper installation of the controller / software module. Such determination is made based upon sensor data when corresponding environmental and operational conditions are met, so the orientation fault detection system is further configured to determine whether the requisite conditions are met for orientation fault detection based upon the sensor data. If an orientation fault is detected, the orientation fault detection system initiates a safe state protocol that renders the vessel safe to operate.

The invention provides an intelligent operation and maintenance management and control method for a large-scale 5G power distribution communication network, and the method comprises the steps: collecting a real-time operation and maintenance data flow, carrying out the preprocessing, and determining an operation and maintenance state label representing a fault risk level based on the target operation and maintenance data in a monitoring window. When the label is in a high-risk state, a negative scheduling strategy is generated in combination with the current scheduling strategy; and when the state is a safe state, a forward scheduling strategy is generated. According to the method, accurate monitoring is realized by dynamically adjusting the length of a monitoring window, and state judgment is performed by adopting a network health index. Meanwhile, an emergency instruction is triggered according to scheduling strategy abnormity, service flow speed limiting or safety protection activation is implemented, and self-adaptive scheduling and risk prevention and control of power distribution communication network resources are achieved. According to the invention, the fault early warning accuracy and resource scheduling efficiency of the 5G power distribution communication network can be improved, and real-time blocking of a high-risk state and accurate triggering of safety protection are realized.

The application relates to a kind of adaptive automatic driving decision-making methods of fusing user preference and traffic rules, comprising the following steps: extracting automatic driving scene information and user instruction;Traffic rule knowledge base is constructed, rule violation is identified, safety state is judged, and observation space feature vector is output;Three-stage memory retrieval mechanism is used, the most similar historical memory unit in memory bank is matched with current scene, if matching is successful, the corresponding multi-objective weight adjustment vector is extracted, otherwise, the observation space feature vector and user instruction are input into large language model, and multi-objective weight adjustment vector is generated based on large language model, and memory bank is updated;The weight in the comprehensive cost function is adjusted based on multi-objective weight adjustment vector, and the optimal path is generated based on the adjusted comprehensive cost function;The above steps are repeatedly executed at a fixed period to continuously update the optimal path.Compared with the prior art, the application has the advantages of higher safety, stronger applicability and the like.