303 results about "Security Measure" patented technology

The invention discloses an intelligent substation safety measure checking method and system, and the method comprises the steps: obtaining a secondary system topological structure, equipment information and historical safety measure ticket data of a substation, and constructing a quaternary knowledge graph; according to the quaternary knowledge graph, extracting multi-modal features of the maintenance task and identifying the type of a maintenance scene by combining a memory guide reflection decision reasoning mechanism, optimizing a rule reasoning process through a distributed guide local search algorithm, and generating an optimal safety measure operation set for a specific maintenance scene; automatically identifying a correlation loop and determining a minimum safety isolation range through a memory guide decision reasoning mechanism, dynamically generating a minimum safety operation set according to the real-time state of the equipment, and adaptively adjusting operation steps; and an operation dependency relationship model is constructed in combination with unwrapping variational multi-graph representation learning and a distributed guide local search algorithm, and operation sequence compliance verification, risk level assessment and dynamic visual early warning are realized. According to the invention, accurate formulation, dynamic adjustment and risk early warning of safety measures of the intelligent substation are realized.

The inputs and / or outputs of a generative artificial intelligence model are monitored to determine whether they contain or otherwise elicit undesired behavior by the model such as bypassing security measures, leaking sensitive information, or generating or consuming malicious content. This determination can be used to selectively trigger remediation processes to protect the model from malicious actions. Related apparatus, systems, techniques and articles are also described.

The invention provides a data classification and grading method and device based on an artificial intelligence large model technology, and relates to the field of data security. The method comprises the following steps: constructing a data classification and grading catalog according to a preset classification rule, and storing each row of the classification and grading catalog as a document record in a target vector database; respectively carrying out first retrieval operation, second retrieval operation and third retrieval operation on the data classification and grading catalog by taking the business system name, the data table name and the field name as first query conditions so as to obtain a first matching document, a second matching document and a third matching document in the target vector database; sorting the first matching document, the second matching document and the third matching document according to a preset sorting mode, and obtaining a sorting result; and inputting a sorting result into the large language model, and performing data security early warning through the large language model. According to the method and the device, the security problems that corresponding security measures cannot be taken, sensitive data is leaked and the like when a data governance engineer identifies the metadata according to the data classification and classification catalog and judges the classification and security level of the metadata are solved.

A system and method for adaptive data processing combining compression and encryption. The system analyzes input data characteristics, compares probability distributions, and creates a transformation matrix to convert data into a dyadic distribution. It generates a main data stream of transformed data and a secondary stream of transformation information. The system dynamically selects and applies processing techniques, including transformation, encoding, compression, and encryption algorithms, based on analyzed characteristics and real-time performance metrics. It compresses the main data stream using Huffman coding and implements security measures to protect the output. A feedback loop monitors technique effectiveness, updates a knowledge base, and influences future selections. The system can operate in lossless, lossy, or modified lossless modes, adapting to different application requirements. This approach offers an efficient solution for scenarios where both data reduction and security are critical concerns.

Systems, computer program products, and methods are described herein for AI-based adaptive security parameter calculation in license key generation with quantum-resistant protections. The present disclosure is configured to utilize advanced cryptographic techniques, including elliptic curve cryptography and SHA-3 hashing, to produce secure digital signatures for license keys. An AI-driven engine analyzes historical security data to adaptively adjust key generation parameters, ensuring enhanced protection against current and emerging threats. This adaptive approach allows for continuous learning and improvement of security measures, making the system robust against both classical and quantum cryptographic attacks. The disclosed methods integrate the generation, assessment, and validation of keys into a streamlined process that promotes high security while maintaining efficiency.

The invention provides a personnel safety dynamic early warning method and system for distribution network line operation, and relates to the technical field of intelligent power grid management, and the method comprises the steps: calling an operation work ticket which comprises a work task, operation personnel information, safety measure requirements, grounding wire installation information, and a regulation and control instruction; text semantic structuring preprocessing is executed, and three-dimensional security features are extracted; security statement extraction is carried out, and a structured task template is established; when the positioning information of the target operating personnel is identified to accord with the area range of the target area, activating the target area; establishing a time sequence working data set based on ground wire intelligent sensing and operation tool intelligent sensing; and performing security verification, and generating a security dynamic early warning. According to the invention, the technical problem that the response speed and accuracy of safety early warning are reduced because the safety assessment of the operation task is not accurate enough due to the lack of an intelligent information extraction and task verification mechanism in the distribution network line operation in the prior art is solved.

Systems and processes enhance cybersecurity by dynamically generating a decoy sub-application that operates parallel to the primary application using generative design and a large language model. The core feature involves real-time anomaly detection within application traffic, utilizing AI to assess threats and orchestrate appropriate responses. Upon identifying potential security threats, the system employs generative design principles to architect a restricted-functionality sub-application, deploying it instantly to engage and analyze the attack vectors without compromising sensitive production data. The sub-application is isolated through software-defined networking, ensuring that its operations do not affect the primary application's functionality. Additionally, sophisticated traffic redirection mechanisms are employed to divert suspicious traffic from the primary to the decoy application, thereby protecting the integrity while allowing detailed threat analysis. This dual-capability system not only safeguards against disruptions but also enhances adaptive security measures through continuous learning and system adjustments.

The invention relates to the technical field of network security awareness, in particular to a security awareness method and system for a GPU cluster, and the method comprises the steps: collecting multi-source security situation data, and providing basic information for subsequent security analysis; by constructing and updating a cluster security situation map in real time, information timeliness is updated and ensured in real time, and powerful support is provided for risk assessment; a dynamic risk assessment model is utilized to calculate vertex and edge scores, high-risk vertexes and key risk conduction paths are identified, and a basis is provided for resource isolation and scheduling; the targeted instruction is generated according to the security risk score and the preset security policy library, different security risks are effectively handled, and safe and stable operation of the cluster is guaranteed; by converting the instruction into a specific control command and distributing and executing the specific control command, effective implementation of security measures is ensured, and the cluster security protection capability is improved; by setting a finite-state machine monitoring instruction execution state, a recovery mechanism is automatically triggered, and continuous and safe operation of the cluster is guaranteed.

The inputs and / or outputs of a generative artificial intelligence model are monitored to determine whether they contain or otherwise elicit undesired behavior by the model such as bypassing security measures, leaking sensitive information, or generating or consuming malicious content. This determination can be used to selectively trigger remediation processes to protect the model from malicious actions. Related apparatus, systems, techniques and articles are also described.

The invention relates to the technical field of data security of the Internet of Things, in particular to an edge data security protection system and method based on a security chip, and the system comprises edge equipment which is deployed at the edge of a network and is used for detecting or collecting original data; the security chip is embedded in or externally connected to the edge equipment, and an encryption engine and a security storage area are integrated in the security chip; the encryption engine is integrated with an encryption algorithm, and a secret key is stored in the secure storage area; the security agent software runs on a control system of the edge equipment and is in communication connection with the security chip, and the security agent software is configured with a security policy; wherein the security agent software is configured to receive original data, call an encryption engine of the security chip according to a security policy to encrypt the original data, generate protected data, and send the protected data to a cloud or a data center; or the original data is monitored, and safety measures are taken for the original data with risks.

The invention relates to the technical field of emergency communication, and discloses a centralized control center emergency communication deployment method. The method comprises the following steps: collecting and analyzing historical emergency event data, analyzing information transmission contents and priorities thereof under different types of emergency events, evaluating existing communication facilities and performances thereof, formulating a diversified communication link design scheme, adding link redundancy in the design, selecting corresponding communication equipment according to link design requirements, and establishing a diversified communication link design scheme. The method comprises the following steps: configuring a channel, a bandwidth and a data format of selected equipment, designing and implementing a data encryption scheme, configuring communication access control and security measures, performing encryption strength evaluation, performing communication deployment, formulating a fault processing mechanism, monitoring link quality, data flow and a fault state in real time, and sending out communication early warning in time. After deployment is completed, drilling based on different emergency scenes is carried out, the effectiveness of a communication system and the response ability of personnel are tested, drilling data are collected, and the improvement space of emergency communication deployment is analyzed and recognized.

The invention discloses a multi-dimensional security protection method and system applied to an electric power monitoring system, which greatly improve the invasion difficulty and cost by adopting two-factor identity authentication and adding a second authentication factor on the basis of a user name and a password, and solve the problems of single and consistent authentication mode and low security. Meanwhile, through full-life-cycle encryption of the data, by means of an encryption algorithm and an integrity verification mechanism, the data security is guaranteed in the whole process, and the data in transmission and storage links are prevented from being stolen or tampered; in addition, the access control information is prevented from being tampered based on a digital signature technology, signature is carried out when authorization is changed, an identification code is generated, login verification integrity is achieved, illegal access is prevented, and access control safety is guaranteed; in addition, the integrity of the auditing log is verified through the hash value, the log is ensured to be real and reliable, the safety auditing is assisted to accurately restore events and track responsibilities, support is provided for improving safety measures, the safety auditing capability of the system is enhanced, and the safety of the power monitoring system is comprehensively improved.

The present disclosure provides techniques for identification of potential illicit activities (e.g., crimes) and / or abnormalities in large datasets. The techniques fuse data from various sources to purge normal records, analyze records using digital detective models, identify and utilize network-sequencing-chains to collect and process records, and generate reports (e.g., civic profile(s)) from the output of the digital detective models. The techniques comprise receiving data from data sources (e.g., government entities), pre-processing the data to determine records indicating illicit or abnormal behavior, determining crime types, inputting profiles into machine learning models trained to flag potential crimes, and generating encrypted data objects based on the output for review by authorized personnel. Robust security measures such as mission lock enforcement, quorum-governed privilege systems, and self-destruct capabilities may provide a digital security architecture to protect sensitive data and ensure system security.

The invention relates to an equipment remote control system and method based on computer network application, and relates to the technical field of computer networks, and the system comprises a remote control terminal, a remote control server, controlled equipment, a network communication module, a security authentication module, an equipment management module, an instruction analysis module and a data encryption module. According to the invention, security measures such as bidirectional identity verification and data encryption are adopted, illegal access and control are effectively prevented, and the security of data is ensured. Low-delay communication protocols such as an MQTT protocol are adopted, the real-time performance of a control instruction is guaranteed, and the method is particularly suitable for equipment control with the high requirement for the real-time performance. And multiple control protocols are supported, so that equipment of different manufacturers can be compatible, and the deployment cost is reduced. And a simple and easy user interface is provided, so that the user can quickly master, and the working efficiency is improved. And a modular design is adopted, so that new equipment types and functions can be conveniently expanded, and continuously increasing remote control requirements can be met.

An API security system that implements techniques for learning sensitive information fields from a group of API requests. The API security system implementing security measures for protecting the identified sensitive information fields.

The invention discloses a remote equipment control method and equipment based on Internet of Things equipment, and a medium, and the method comprises the steps: a management end generates a control instruction, carries out the encryption processing of the control instruction, and transmits the encrypted control instruction to an edge layer; the edge layer forwards the encrypted control instruction through a preset transmission protocol; and the device end receives the control instruction forwarded by the edge layer, and performs execution according to the control instruction to obtain an execution result. According to the invention, security is guaranteed by encryption, authority control and the like; the instructions and results are managed through a storage bucket, and optimization functions such as regular file deletion and classified storage are achieved; safety measures such as fingerprint verification are also provided, meanwhile, result visual display is supported, and the overall scheme is comprehensive, safe and efficient.

A method of security information visualization processing, an electronic device and a storage medium are provided. The method includes: in response to a security overview display instruction, displaying a security overview dashboard of a user group; displaying, in the security overview dashboard, anomaly aggregation information and security measure aggregation information; and aggregately displaying, in a display region corresponding to a security scenario, information of a plurality of anomaly categories associated with the security scenario.

The inputs and / or outputs of a generative artificial intelligence model are monitored to determine whether they contain or otherwise elicit undesired behavior by the model such as bypassing security measures, leaking sensitive information, or generating or consuming malicious content. This determination can be used to selectively trigger remediation processes to protect the model from malicious actions. Related apparatus, systems, techniques and articles are also described.

The invention relates to the technical field of network security, in particular to a network security index evaluation method and system, and the method comprises the following steps: based on a system weblog, extracting recognized vulnerability information, analyzing the occurrence frequency and processing response time of various security vulnerabilities, calculating the processing efficiency, and generating vulnerability processing efficiency information. In the invention, by evaluating the efficiency of vulnerability processing, analyzing the implementation condition of data encryption, detecting the security of key management, verifying the execution consistency of access permission and evaluating the effects of multiple security measures, the weakness of the system is revealed, actual guidance is provided for security reinforcement, the current situation of network security is accurately evaluated, and the security of the network is enhanced. By simulating a threat event, evaluating the response capability of the security system to a network threat, determining the actual strength and potential weaknesses of the security system and summarizing different security indexes into a comprehensive security index, a basis is provided for a management layer decision, and security policy adjustment based on actual data is realized.

The invention discloses an electric power construction behavior safety detection method and system, and relates to electric power safety. The method comprises the following steps: collecting historical electric power work ticket data, and constructing a work ticket risk feature library; according to the work ticket risk feature library, training a risk identification model based on multi-task learning; collecting text data of the current electric power work ticket, extracting work content and security measure fields, and generating a text feature vector; searching optimal parameter configuration in a parameter space of the risk identification model by using a discretization doliolaria optimization algorithm; the method comprises the following steps: collecting real-time image data of a working site, carrying out target detection and feature extraction on the image data, identifying position coordinates of working personnel and types and wearing state marks of safety protection appliances, encoding a detection result into structured data, and generating an image feature vector; aiming at the lack of a dynamic association verification mechanism between an electric power work ticket text specification and an actual behavior of a work site in the prior art, the static requirement of a work ticket is converted into a dynamic behavior supervision standard.

The invention relates to the technical field of work ticket auxiliary auditing, and discloses an information system operation and maintenance work ticket auxiliary auditing method based on a large model, and the method comprises the steps: obtaining the content of a work ticket, carrying out the text cleaning of the content, and constructing a content accuracy auditing prompt word; the cue word is transmitted into a large model, and a content accuracy auditing opinion is obtained; constructing a work scheme rationality auditing prompt word, and obtaining a work scheme rationality auditing opinion and a potential risk point list; constructing a safety measure completeness auditing prompt word, and obtaining a safety measure completeness auditing opinion; obtaining a content compliance auditing opinion, and generating a final work ticket auxiliary auditing opinion; according to the method, the auditing efficiency, quality and safety are comprehensively improved, and a powerful guarantee is provided for safe and stable operation of an enterprise information system. And meanwhile, through knowledge precipitation and a continuous optimization mechanism, continuous improvement of the auditing capability is realized, and core competitiveness of enterprise operation and maintenance management is formed.

The invention provides an open pit coal mine safety management and control method and device, electronic equipment and a storage medium, and relates to the technical field of mine field safety protection. The position of a key person is obtained in real time, whether the key person enters a corresponding operation area or not is verified, associated video monitoring is automatically triggered according to the in-place state of the person, safety measure execution is verified through real-time mapping of a video stream and an operation process state, and early warning is conducted when the safety measure execution is abnormal. The problems that in the prior art, due to the fact that a'process-position-video 'triple closed-loop verification mechanism is not formed and multi-source data space-time alignment and dynamic verification are not achieved, the security measure execution rate is insufficient, supervision lags behind, positioning data staticization is caused, video coverage is not matched, approval information is delayed, and data errors exist can be solved.

The invention discloses an intelligent substation safety measure verification and operation and maintenance management and control method and system and a storage medium, and relates to operation and maintenance automation and intelligentization of an intelligent substation. According to the invention, a cloud-edge-end collaborative architecture is constructed; edge equipment is responsible for collecting data and carrying out local intelligent preprocessing; the cloud constructs and dynamically updates a high-fidelity digital twinborn model based on the processed data, performs simulation verification on security measures, and performs real-time auxiliary verification on an edge side by using a lightweight AI model to form dual security verification; finally, the verified instruction is converted into virtual-real superposition operation guidance synchronized with the digital twinning in real time through the mobile AR terminal, and field operation is visually guided. According to the scheme, the fundamental transformation of an operation and maintenance mode from artificial experience driving to data intelligent driving is realized, the decision-making efficiency is optimized through cooperative processing, a safety defense line is constructed by utilizing dual verification, the misoperation risk is remarkably reduced by virtue of AR visual guidance, and a complete intelligent operation and maintenance closed loop is formed.

An electronic device, method and computer program product mitigate risks of presenting content that may include links to malware or phishing queries at secondary device(s) by learning from security-related user actions taken at trusted primary device(s). In response to receiving, via user interface component(s), a user input designating third-party content as violating a security policy at an electronic device assigned group level authorization to make security decisions for security policy sharing group of electronic devices, the controller updates a security policy module of the electronic device. The controller configures the electronic device to implement the updated security policy of the third-party content. The controller transmits a security policy update to each second device within the security policy sharing group to trigger an update of the respective security policy module to recognize and locally implement security measures against similar third-party content that is subsequently received.

The invention provides an electrical work ticket safety measure intelligent checking method and device based on a safety measure knowledge base, and electronic equipment. The method comprises the following steps: analyzing a target equipment number and a target operation type from work ticket content of a target power plant in an operation process; searching an equipment search path rule query statement and an equipment safety measure term template corresponding to the target equipment from a safety measure knowledge base according to a target equipment type and a target operation type corresponding to the target equipment number; using the target equipment number as an input parameter of an equipment search path rule query statement, and querying an associated equipment number having an electrical topology connection relationship with the target equipment from a power grid graph database; according to target equipment information corresponding to the target equipment number, associated equipment information corresponding to the associated equipment number, the equipment safety measure term template and the target operation type, generating safety measure content; and intelligently checking the work ticket content according to the safety measure content to obtain the standard electrical work ticket content.

The invention discloses a relay protection operation state monitoring system and method, and the system comprises a data processing module which is used for obtaining a preprocessing equipment image before or after relay protection operation, and generating an equipment state code; the intelligent analysis engine comprises a safety measure card execution sequence modeling module which is used for analyzing a safety measure ticket text to construct an operation sequence rule base; the guiding operation module is used for generating operation steps according to the operation sequence rule base so as to guide a user to operate; the operation recording module is used for structurally generating a safety measure operation behavior record of the user; the intelligent state comparison module is used for comparing equipment state differences before and after relay protection operation according to the equipment state codes, the operation sequence rule base and the safety measure operation behavior records; and the leakage recovery early warning module is used for triggering leakage recovery early warning according to the comparison result. According to the invention, the safety and efficiency of relay protection operation can be improved.

Systems, computer program products, and methods are described herein for using an anomaly deterrent sensor within a self-service machine for dispensing physical items. The present disclosure is configured to: detect an interaction between a payment instrument with available resources and a self-service machine for dispensing physical items; receive an anomaly notification from an anomaly deterrent sensor within the self-service machine for dispensing physical items wherein the anomaly notification is associated with forced entry into the self-service machine, wherein the anomaly deterrent sensor detects forced entry into a physical item dispensing area within the self-service machine during the interaction between the payment instrument and self-service machine; and trigger a set of security measures associated with the self-service machine for dispensing physical items upon reception of the anomaly notification originating from the anomaly deterrent sensor, wherein the set of security measures comprises playing a pre-recorded alarm.

The embodiment of the invention discloses a Web system user operation intelligent auditing method and device, a medium and a program product. The method comprises the steps of obtaining user interface interaction data in response to an operation request of a user on a front-end interface; when the user operation triggers the front-end event, front-end context information is obtained based on the front-end environment where the user operation is located; the method comprises the following steps: when a user operates to trigger a front end to send an HTTP request to a back end, acquiring back-end interaction data and back-end context information based on a plurality of processing stages of the HTTP request; and based on the user interface interaction data, the front-end context information, the rear-end interaction data and the rear-end context information, obtaining an evaluation level of the user operation behavior, and when the evaluation level is greater than a preset security level, obtaining a target security policy and executing a corresponding security measure. According to the method, accurate auditing and dynamic safety protection of user operation behaviors can be realized through full-link data acquisition and comprehensive analysis, and the safety and reliability of a Web system are effectively improved.

The invention provides an equipment safety measure automatic generation rule base construction method and system, and relates to the technical field of equipment safety management.The method comprises the steps that initial deployment states of a power grid and power grid equipment are obtained, and initial comprehensive environment characteristics are generated; generating an initial security measure rule base according to the initial comprehensive environment characteristics; monitoring the power grid and the power grid equipment to obtain current operation data, and fusing the current operation data to obtain multi-source data of the power grid equipment; performing feature extraction on the multi-source data to obtain current comprehensive environment features; judging whether the operation environment of the power grid equipment is changed or not according to the current comprehensive environment characteristics and the initial comprehensive environment characteristics; if yes, updating the initial security measure rule base through a deep enhancement model according to the current comprehensive environment features and the initial comprehensive environment features, and obtaining a current security measure rule base. According to the invention, a more reliable and intelligent safety guarantee is provided for power grid equipment in a complex and changeable operation environment.

The invention provides a fire operation safety management system, which belongs to the technical field of operation safety supervision and comprises an operation application unit, a measure confirmation unit, an operation examination and approval unit, a start confirmation unit, an operation implementation unit and an operation completion unit. The measure confirmation unit matches and confirms operation safety measures; the job approval unit matches an approval process including multi-stage approval and face recognition verification; the work starting confirmation unit verifies the tools, senses the environment and secondarily confirms gas monitoring; the operation implementation unit is linked with data to supervise the operation state; and the work completion unit guides acceptance, returns tools and the like and archives work tickets. The system has the beneficial effects that operation approval management is strengthened, an intelligent safety protection system of'full-chain control, whole-process trace reserving and full-risk pre-judgment 'is constructed by means of hardware auxiliary means such as field monitoring and personnel positioning, closed-loop management of an operation process is realized, and intrinsic safety transformation from an enterprise to active prevention is promoted.