617 results about "Security system" patented technology

The invention provides an electric power system cross-source safety intelligent monitoring and dynamic response method and system based on mimicry defense, and relates to the technical field of electric power system network safety. According to the method, multi-source data are acquired by deploying an acquisition agent and a sensor and are encrypted and transmitted, parallel analysis and threat judgment are realized by utilizing a heterogeneous executor pool and dynamic scheduling, an attack chain is identified by combining cross-domain association modeling, disposal is performed according to grades, credible recovery is supported, and reinforcement learning and federated learning are assisted to optimize a strategy and resource allocation. And lightweight adaptation is realized through intensity control in a resource limited scene, a closed-loop safety system covering data acquisition, threat analysis, dynamic disposal and continuous evolution is formed, and the detection accuracy, response efficiency and robustness of a power system are improved.

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 provides a digital twin smart park security and protection management system based on artificial intelligence, and relates to the field of security and protection management, and the system comprises a multi-mode sensing network which is used for collecting park environment data through a multi-mode sensor network, and carrying out the preprocessing of the data, and obtaining an environment data set; the digital twin modeling module is used for constructing a park three-dimensional virtual model based on the environment data set; the semantic alignment module is used for defining a dynamic security semantic rule based on the three-dimensional virtual model and carrying out semantic alignment of multi-modal features on the environment data set; the threat assessment module is used for performing threat assessment on the aligned semantics based on a knowledge graph and a Bayesian network; and the resource scheduling execution end is used for generating a disposal plan according to the evaluation result and realizing security response through an execution terminal. The method is used for solving the problems of information isolated island, response lag, high false alarm rate, fuzzy situation awareness and the like of a park security system in the prior art.

Systems, methods, and techniques are directed to detecting potential anomalous activity based on changes in a security graph. In an example, a security system receives a first snapshot of a graph representative of a tenant account of a network-based system corresponding to a first timestamp. The security system receives a second snapshot of the graph corresponding to a second timestamp. The security system determines a first change in the graph based on the first and second snapshots and a second change related to the first change. The security system detects a potential anomaly based on the first and second changes. Responsive to detecting a potential anomaly, the security system causes a mitigation step to be performed with respect to the tenant account. In a further example, the security system determines relationships between a sequence of changes satisfies a cumulative anomaly criterion.

The invention belongs to the field of network security, and relates to a method and device for constructing a network security management and control platform, electronic equipment and a storage medium, and the method comprises the steps: constructing a P-POT-PDRR security system model; constructing an intelligent multi-agent system consisting of a sensing agent, an analysis agent, an execution agent and a collaborative scheduling agent; through multi-source network data acquisition, cleaning, fusion and asset map construction, perception of a network environment is realized. Constructing an AI intelligent analysis and threat identification engine; based on an analysis result and a predefined strategy, risk assessment, attack path prediction and automatic response decision are realized, and the threat disposal time is shortened; and iterating parameters of the P-POT-PDRR security system model by continuously collecting execution feedback and optimizing strategy rules. The collaboration of a safety system is improved; the intelligent level is higher; the threat processing time is shortened, the loss caused by attacks is reduced, and the response efficiency is better; and the method has good expandability and compatibility.

The invention discloses a smart park security system based on a GIS technology, and belongs to the technical field of security protection. Comprising a GIS basic service module, a security element plotting module, a basic element visualization module, a multi-source heterogeneous security information integration module, a data storage and management module, a depth feature extraction module, a model training and real-time reasoning module and a control response and verification module. And the GIS basic service module is used for providing a unified space reference and geographic information service and supporting coordinate conversion, space analysis and map rendering. Based on the unified space reference capability of the GIS basic service module and in combination with the GPS RTK positioning and Beidou dual-mode positioning of the security element plotting module, precise space association of the park security equipment is realized, the plotting position is precise, the real-time operation state of the equipment can be deeply bound with GIS coordinates, and a manager can intuitively master the dynamic state of the equipment through a map, so that the management efficiency is improved. The problems of fuzzy plotting and state disjunction of a traditional system are solved.

The invention discloses a campus intelligent alarm linkage method and system based on face recognition, and the method comprises the steps: collecting a video stream in real time, and extracting a face image in a video frame through a face detection algorithm; comparing the face image with a white list database pre-stored in a campus in real time, and generating an identity recognition result and a confidence score of the face; calculating the threat level of the current behavior scene through a dynamic early warning judgment model and generating a graded early warning signal based on the identity recognition result and the confidence score in combination with the real-time analysis of the personnel behavior scene; automatically triggering a corresponding equipment linkage instruction according to the graded early warning signal; and on the basis of the execution state of the equipment linkage instruction and a subsequent video analysis result, generating a complete security event disposal report containing an incident position, an incident-related personnel image and a disposal suggestion. According to the embodiment of the invention, the active early warning capability and the emergency response efficiency of the campus security system can be improved.

A computer system for maintaining the security of a building is provided. The computer system includes a processor and a memory. The processor is configured to: (i) receive data from a plurality of sensors; (ii) apply the data to a trained security assessment model to generate at least one model output, the trained security assessment model configured to compare the data from the plurality of sensors to a plurality of danger profiles; (iii) determine an anomalous event is occurring and a security response to the anomalous event based on the at least one model output, the security response including a plurality of tasks; (iv) trigger a first task of the plurality of tasks; and / or (v) in response to determining a predetermined period of time has elapsed, trigger a second task of the plurality of tasks.

A cyber security system for protecting a networked system, the cyber security system being implemented on a computer service comprised in or provided in communication with the networked system, the cyber security system being configured to deploy an interactive deception framework configured to interact with an unauthorized entity that has accessed the networked system; the interactive deception being configured to interact with the unauthorized entity by providing artificial components of the networked system; and wherein the security component is configured to dynamically adapt or select the artificial components based on the interaction with the unauthorized entity and / or a characterization of the unauthorized entity.

A clientless security system to secure cellular devices across a network in a cloud-based environment. The clientless security system includes a tenant with multiple cellular devices, tunnels for transmitting traffic, and a traffic steering module for directing traffic towards a gateway. The traffic steering module provides a SIM with custom network identifiers, configures them, creates and distributes a device-to-IP mapping to gateways in real-time. The gateways loads tenant information, decrypts secure sockets layer (SSL), and determines an installation of a certificate for a hypertext transfer protocol communication. A uniform resource locator (URL) is classified based on a server name indication when certificate is uninstalled. When the certificate is installed, proxy policies are enforced. The gateway retrieves security policies, detects threats based on the security policies, remediates detected threats and encrypts the SSL.

The invention relates to the technical field of intelligent linkage control systems for video monitoring, access control and fire alarm, particularly discloses an intelligent linkage control system for video monitoring, access control and fire alarm, and aims to solve the problems of low integration level, linkage logic solidification and high misjudgment rate of an existing security and protection system. The system comprises a multi-source data sensing fusion module, a fire situation intelligent evaluation module, a dynamic evacuation path planning module and a multi-system cooperative execution control module, and intelligent evaluation and dynamic evacuation path planning of the fire situation are realized by fusing video, access control and fire alarm data. And video tracking, entrance guard opening and closing and fire-fighting broadcasting are cooperatively controlled, so that the accuracy and efficiency of emergency response are improved.

The invention relates to the technical field of intelligent security and protection, in particular to a face recognition access control method and system in an intelligent security and protection system. The method comprises the following steps: sensing an illumination condition through an ambient light sensor and adaptively selecting an image enhancement algorithm to pre-process a face image; after features are extracted, similarity comparison with a database template is carried out; meanwhile, multi-mode living body identification integrating action instructions and near-infrared detection is carried out; and the multi-dimensional access authority of the user is dynamically inquired and verified in the identification process. The system comprises an image acquisition module, an environment perception module, a central processing module, a living body detection module, a dynamic authority management module, an access control module and the like. According to the invention, the recognition rate under complex illumination is effectively improved, the anti-counterfeiting capability of the system is enhanced, and the intelligent dynamic management of the access authority is realized.

A building security system includes computer-readable storage media having instructions stored thereon that, when executed by processors, cause the processors to: receive, from cameras communicably coupled to the building security system, video data, wherein the video data includes one or more video recordings, retrieve contextual information associated with the video data, analyze, using one or more artificial intelligence models, the video data, wherein the analysis of the video data includes detecting one or more details, determine, using the one or more AI models, based on the contextual information and the one or more details detected within the video data, a relevance of the one or more video recordings, and, based on the relevance of the one or more video recordings, automatically implement, using the one or more AI models, an action to delete or reduce a storage size of at least one of the one or more video recordings.

A method, system, and computer-readable storage media for anomaly detection on an Operational Technology (OT) network are disclosed. Input packets are obtained. Each of the input packets may represent a history of baseline packets. Based on the input packets, a foundation model is trained to generate corresponding recreated packets. The trained foundation model is optimized by minimizing a difference between the input packets and the corresponding generated recreated packets. Further, an incoming data packet is received on the OT network. Based upon the incoming data packet, a recreated data packet is generated using the trained and optimized foundation model. A difference between the recreated data packet and the incoming data packet is calculated. If the difference is above a predetermined threshold, a security protocol is triggered to a security system.

A clustering foundational AI model analyzes for, collects data about, and then outputs the role and / or function of an entity in a network and / or in an organization. The clustering foundational AI model clusters data together so that similar roles and / or functions can be readily identified to supply additional contextual information about the entity involved in the alert and / or event, and then outputs the role and / or function for the entity associated with the alert and / or event to assist in an investigation. The clustering foundational AI model adds the additional contextual information about the role and / or function of the entity upon receiving the alert and / or event. A UI receives the additional contextual information about the role and / or function of the entity in the network and / or organization and then presents both the alert and / or event and the additional contextual information that allows a user to gain contextual information about the alert and / or event.

The invention discloses a portable X-ray back scattering security check system based on AI image enhancement. The system belongs to the technical field of radiation imaging, and comprises a sensing unit used for sensing physical situation information in an imaging process so as to generate time-sequenced physical prior data; the prediction unit is used for predicting a future scanning behavior based on the physical prior data to generate a feed-forward control instruction and prediction confidence; the regulation and control unit is used for adaptively regulating and controlling scanning parameters based on the feedforward control instruction and recording execution information including regulation and control residual errors; and the AI reconstruction processor is used for performing enhanced reconstruction on the original X-ray image based on the physical priori data, the prediction confidence and the execution information. By constructing an intelligent closed loop of perception, prediction, regulation and control and reconstruction, physical uncertainty information in the imaging process is quantized and used for guiding AI reconstruction, so that the problem of information fault between physical acquisition and digital reconstruction is solved, and the quality and reliability of a final image are improved.

The utility model discloses an ammonia fuel low-speed engine test bed security system which comprises a plurality of two-way electromagnetic valves, a plurality of one-way valves, a plurality of pressure sensors, an air supply fan, an air draft fan, a manual two-way valve, a buffer tank, an ammonia detector, a three-way electromagnetic valve, a flow meter and an outdoor ammonia steam tank. And a signal line of the PLC is respectively connected with the control ends of the two-way electromagnetic valves, the pressure sensors, the air supply fan, the air draft fan and the flow meter. Under different working conditions of slight leakage or serious leakage of ammonia fuel, the leaked ammonia fuel is recovered into the outdoor ammonia evaporation tank, so that the safety of field personnel is ensured, and a reliable guarantee is provided for safe and reliable test run of the ammonia fuel low-speed engine.

The invention discloses a security and protection video monitoring management method and system for a smart campus, and relates to the technical field of smart security and protection, and the method comprises the steps: deploying a multi-mode sensing device, carrying out the data collection and preprocessing, generating a data set, generating a feature set through the data set, calculating an abnormal correlation score based on the feature set, generating an abnormal feature subset, and carrying out the recognition of the abnormal feature subset. Using the abnormal feature subset to output a fusion feature vector through a GAT model, and calculating a risk value based on the fusion feature vector; calculating a risk field change rate based on the risk value, calculating a risk probability by using the change rate, updating the risk value through a graph convolutional network, and performing equipment priority division based on the risk probability and the updated risk value; z-score anomaly detection is generated based on the risk probability, and an anomaly region is obtained based on a detection result; and performing hierarchical intervention on the detected abnormal region and the divided device priority. The real-time performance and the self-adaptive capability of the security and protection system in the aspects of risk assessment and intelligent operation and maintenance are improved.

The invention discloses an intelligent security early warning management method and system based on machine learning. The method comprises the steps of multi-source data fusion and acquisition, preprocessing and feature extraction, dynamic model construction and training, security situation analysis and early warning, multistage linkage response and system self-learning optimization. According to the system, heterogeneous data is collected by integrating a camera, an infrared sensor, a temperature sensor and a humidity sensor, edge calculation is used for synchronous fusion, features are extracted through a convolutional neural network, a recurrent neural network and the like, model parameters are dynamically optimized in combination with reinforcement learning, and safety situation level evaluation and advanced early warning are achieved. Emergency resource allocation is optimized based on a genetic algorithm and integer programming, and the model is continuously iterated through a feedback mechanism. According to the scheme, through multi-modal data fusion and dynamic machine learning, the adaptability and early warning accuracy of the security and protection system to a complex environment are improved, full-process intelligent management from data collection to intelligent decision making is achieved, and the method is suitable for multiple scenes such as commercial complexes and industrial factories.

The invention belongs to the technical field of artificial intelligence and demand engineering crossing, and provides a demand standardization method and system based on a knowledge base and a large model and a storage medium, and the method comprises the steps: constructing a hierarchical knowledge base; preprocessing the original natural language demand text to generate a standardized demand fragment; dynamically retrieving a normal form evidence packet and a domain knowledge evidence packet associated with the standardized demand fragment from a hierarchical knowledge base; and inputting the constructed cue word into a large language model, generating an output result by the large language model, performing multi-demand consistency verification and integrity and traceability verification, and correcting and outputting a final result according to verification and verification results. According to the method, automatic demand defect detection, standard text generation and full-link tracing are realized, the automation level and compliance of high-safety system demand engineering are remarkably improved, and the method is suitable for the fields of aerospace, ships, rail transit and the like.

An improved context-aware security system may include an artificial intelligence (Al) reasoning security system. The context-aware security system may be configured to receive security input data from a plurality of input sources, generate a contextual security analysis, identify a security response, and send instructions to a security system output device to execute the security response. The context-aware security system may include a plurality of security input sources configured to provide security inputs and contextual data, including credential readers, physical access controllers, security sensors, environmental sensors, or external information sources. The context-aware security system may include a directive input subsystem configured to receive security directives from an authorized user interface. A plurality of security system output devices may be configured to execute the security response, including credential reading systems, biometric systems, alerting systems, logging systems, or notification systems.

The invention discloses an end confrontation security system and method based on a deterrent defense large model. The system comprises the deterrent defense large model, an edge deterrent node, a terminal deterrent agent and an adaptive confrontation training framework. The method specifically comprises the following steps: reasoning an attack chain through a deterrent defense large model, deducing a virtual deterrent scene, and generating a countering strategy; and the edge deterrent node extracts the countering strategy and compiles the countering strategy into a terminal executable instruction. And the terminal deterrent agent implements deterrent actions and feeds back deterrent conditions. And continuously optimizing an attack and defense game strategy based on a self-adaptive confrontation training framework. The method supports the dynamic deterrence efficiency, displays the defense strength through the real-time threat assessment and attack countering strategy, reduces the invasion will of an attacker, and enables the attack attempt rate to be reduced. The intelligent confrontation capability is supported, and confrontation sample generation, attack chain reasoning and virtual countering action simulation are realized; and resource collaborative optimization is supported, and the efficiency balance of the center large model and the tail end light-weight model is ensured.

A process that includes receiving a session identity protection query that includes a target domain. The process further includes accessing a security database of compromised cookie data associated with a plurality of domains and determining the target domain is associated with first compromised cookie data of the compromised cookie data included in the security database. The process includes providing the first compromised cookie data in response the session identity protection query.

A merchandise security system for a retail shelf includes a front rail having a base, a front wall, and a rear wall spaced apart from the front wall by a channel. The system also includes a roller track configured to engage the front rail and operable to translate along the front rail. Here, the roller track includes a plurality of rollers and a frame. The plurality of rollers are selectively engaged with the front rail.

Disclosed herein are systems for enhancing physical security of a vehicle occupant comprising a holographic projector component; a data repository component; a sensor component; a digital camera component; and a display screen component communicatively connected with the digital camera component. Also disclosed herein are associated methods for enhancing physical security of a vehicle occupant.

A processor may capture network packets from a communication channel between a user and an application, the network packets comprising a data structure package. A processor may identify a schema of a payload used in the data structure package of the network packets. A processor may dynamically generate payload schema processing code using a machine learning dynamic protocol parser by applying a machine learning model to the schema of the payload, the payload schema processing code including a description of each field of the data structure package and a parser function for extracting a prompt. A processor may iterate the dynamically generating of the payload schema processing code until the payload schema processing code meets a predefined accuracy and functionality criteria that successfully extracts the prompt.

A deadbolt control and security system for preventing rotation of a deadbolt manual egress handle of a deadbolt lock is described herein. The system preferably includes a deadbolt interface unit and at least one actuator unit. The deadbolt interface unit has a manual mode (the deadbolt interface unit manual egress handle controlling locking and unlocking the deadbolt lock) and a remote mode (the at least one actuator unit controlling locking and unlocking the deadbolt lock). The deadbolt interface unit includes: a deadbolt interface unit manual egress handle; a gear train having a shaft coordinated with the deadbolt interface unit manual egress handle; a unit-handle coupler that interfaces between the deadbolt manual egress handle and the deadbolt interface unit manual egress handle via the shaft; and a clutch. Preferred systems prevent the deadbolt lock from being unlocked using keys and / or other bypass tools.

In some embodiments, a security system may generate a first record including first data about detection of a first person in a first image and a second record including second data about detection of a second person in a second image. The security system may determine, based at least in part on first and second data, priorities for the first and second records, and may determine, based at least in part on the priorities, an order in which to process the first and second records. Based at least in part on the order, the security system may process the first record via a first monitoring application prior to processing the second record via a second monitoring application.

An apparatus may include a set of modules and artificial intelligence models to detect a cyber incident, a simulator to simulate an actual cyber attack of the cyber incident on a network including physical devices being protected by the set of modules and artificial intelligence models; and a feedback loop between i) the set of modules and artificial intelligence models and ii) the simulator, during an ongoing detected cyber incident. An attack path modeling module is configured to feed details of the detected incident by a cyber threat module into an input module of the simulator, and to run one or more hypothetical simulations of that detected incident in order to predict and control an autonomous response to the detected incident. Any software instructions forming part of the set of modules, the artificial intelligence models, and the simulator are stored in an executable form in memories and executed by processors.

The invention relates to a security container for storing valuable documents, e.g., banknotes, having the respective valuable document identification numbers marked on them, and a corresponding security system that, after detecting an intrusion, neutralizes the valuable documents and issues in real time via a communication network an alert message containing at least the valuable document identification numbers to the authorities and / or ATMs or the carrier, and prevents any transaction based on said neutralized valuable documents through said ATMs.