445 results about "Security information" patented technology

The invention belongs to the technical field of information security, and particularly relates to a super-threshold data set intersection method and system for security information processing. The method comprises the following steps: S1, carrying out casual key value pair storage OKVS encoding and decoding between each participant and other participants; s2, each participant constructs a hash table according to a decoding result and elements of the participant; and S3, sending the constructed hash table to a specified party, summarizing information in the hash tables of all participants by the specified party, and finally obtaining a super-threshold intersection result by using a secret sharing scheme. The method has the characteristics that the hardware and operation and maintenance cost can be reduced, the data security is enhanced, and the calculation efficiency is improved, so that the industrial control requirement of short-time response is met.

Disclosed in the present invention is a smart port management system based on a blockchain. The system comprises: a cargo information collection module, which is used for collecting cargo information; an information uploading module, which is used for performing on-chain processing on the collected cargo information and uploading the cargo information to a blockchain; a cargo conveyance collection module, which is used for collecting information related to cargo conveyance in a port by unmanned conveying devices in the port; a vehicle information collection module, which is used for collecting information related to vehicles entering the port; a personnel information collection module, which is used for collecting personnel information in the port; a port protection collection module, which is used for collecting information related to protection devices at port terminals; and a security history collection module, which is used for collecting historical security information of the port. The present invention enables more comprehensive and smart port management.

The invention provides a security information reading method and device. The security information reading method comprises the steps of obtaining a current life cycle corresponding to a target chip under the condition that a reading request of reading security information of the target chip is received; a target reading position is selected from a first storage unit and a second storage unit according to the current life cycle, the first storage unit is used for storing safety information injected into a target chip after the chip leaves a factory, and the second storage unit is used for storing safety information injected into the target chip during chip design and production; and reading the target security information stored in the target reading position. By means of the safety information reading method, the probability of potential safety hazards existing in a factory chip is reduced.

Systems and methods for generating predicted end-to-end cyber-security attack characteristics via bifurcated machine learning-based processing of multi-modal data are disclosed. The system accesses multi-modal data indicating a set of security information related to a computing system. The system then generates a set of extracted characteristics indicating a cyber-security attack on the computing system, via a supervised machine learning model, using the multi-modal data. Using this information, the system generates a revised set of extracted characteristics indicating the cyber-security attack, via an unsupervised machine learning model, using the extracted set of characteristics indicating the cyber-security attack, where the revised set of characteristics includes at least one new characteristic that was not included in the extracted set of characteristics indicating the cyber-security attack on the computing system. The system then generates for display a graphical representation of the revised set of extracted characteristics.

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.

A security feed normalizer aggregates and normalizes threat intelligence data across security feeds and extracts threat descriptors of cybersecurity threats from the aggregated / normalized data. A first large language model (LLM) determines whether each threat descriptor is informative, i.e., comprises sufficient information for reproducing / generating network traffic of the corresponding cybersecurity threat. For informative threat descriptors, a second LLM generates network traffic for the corresponding cybersecurity threats. The generated network traffic is used for subsequent remediation of corresponding threats.

The invention discloses an event association analysis and early warning system for a security information management platform, and the system comprises an event identifier generation module, an event feature association module, an abnormal event discrimination module, an early warning response execution module, and an early warning triggering module, a data storage module and a behavior verification module. The event identifier generation module determines the association importance in combination with the event emergency level, the type label and the occurrence frequency, and generates a unique identifier; the event feature association module integrates initial, stage and continued feature acquisition values, and compares the values with a reference to form a result; the abnormal event judgment module determines an abnormal monitoring quantity by analyzing a state and the like, and identifies abnormal associated information; and the early warning response execution module optimizes a response path based on a multi-dimensional model in combination with the association importance and historical data. The system improves event identification accuracy, feature association comprehensiveness and the like, and is suitable for security and protection information management.

This invention discloses an automatic robot instruction inspection method and apparatus based on the PDPS platform. The method involves acquiring offline program data of the robot and the corresponding design rules, configuring a program inspection tool according to the design rules, inputting the program data into the inspection tool, and storing safety information from the first and second instructions into corresponding variables. The information in each variable is compared or judged to obtain a first judgment result. Chinese characters and punctuation marks in the program data are judged to obtain a second judgment result. Based on the motion parameters in the program data, the margin value of each joint when the robot performs each action is calculated, and collision risk is judged based on the margin value to obtain a third judgment result. Finally, the robot's compliance with safety rules is judged based on the motion radius to obtain a fourth judgment result. This method improves the accuracy of offline program inspection.

The invention relates to the field of social security management data processing, and discloses a social security information intelligent analysis system based on dynamic closed-loop regulation, and the system comprises an analysis prediction unit which calculates a risk score based on a feature weight; the subthreshold residual cutoff unit captures weak score data lower than a trigger threshold value; the space-time entropy aggregation unit calculates the Shannon entropy of the weak data; the agility bias unit reduces the trigger threshold according to the low-entropy aggregation state; the self-adaptive damping correction unit utilizes a predicted and feedback difference vector to reversely correct a feature weight, the environmental background pressure is sensed by calculating a space-time entropy value of discarded residual data, a trigger threshold value is dynamically biased according to the environmental background pressure, a damping mechanism correction model is introduced into a feedback closed loop, and a damping mechanism correction model is introduced into the feedback closed loop. The problem of weak risk report omission caused by a fixed threshold value is solved, and self-adaptive dynamic balance of system sensitivity and false alarm rate is realized.

Disclosed in the present invention is a traffic all-domain safety early warning system based on real-time safety information fusion technology, comprising a traffic all-domain big data cloud center, an onboard intelligent terminal OBU, an intelligent terminal having a client APP installed thereon, and a roadside unit RSU; the onboard intelligent terminal OBU is used for acquiring vehicle self-collected information serving as a first-layer information source; the roadside unit RSU is used for acquiring RSU information serving as a second-layer information source; the intelligent terminal having a client APP installed thereon is used for acquiring all-domain traffic information serving as a third-layer information source; and the traffic all-domain big data cloud center corrects the accuracy of dynamic traffic data comprising the vehicle self-collected information, an RSU information source and the all-domain traffic information, and fuses the corrected data into a unified traffic electronic map. The present invention ensures that all types of individuals entering the public traffic space can be detected in advance, thereby improving the information transparency and operation efficiency of the traffic system, and travel safety.

A method and apparatus for transfer of security information from a Centralized Unit (CU) to a Distributed Unit (DU) is provided. A serving DU receives security information related to a candidate cell from a serving CU. The security information is for security update upon cell switch. The serving UD transmits a cell switch command for the cell switch from the serving cell to the candidate cell, to the wireless device. The cell switch command includes the security information related to the candidate cell based on the candidate cell belonging to a CU different from the serving CU.

The invention discloses a mechanical arm working area safety protection method and system based on multi-modal sensing, relates to the technical field of mechanical arm control protection, and solves the problem that multi-modal feature fusion lacks dynamic adaptation and space-time correlation modeling capability. In order to solve the technical problems that a risk assessment system is incomplete and a scenarized dynamic adjustment mechanism is lacked, the key security feature expression is accurately enhanced through a dynamic weight distribution mechanism based on a real-time security risk level; a two-dimensional spatial-temporal characteristic incidence matrix is constructed by combining a dynamic time warping algorithm and unified coordinate system mapping, time sequence and spatial correlation information of multi-modal data is fully mined, the defect that characteristic fusion lacks dynamic adaptation and spatial-temporal modeling is overcome, the generated fusion characteristic vector can comprehensively and accurately reflect multi-dimensional safety information, and the safety performance of the system is improved. The index attribute difference and dimension influence are eliminated through attribute-based normalization calibration, and the accuracy of core index quantification is ensured.

The present invention discloses a system and method for secure information processing that guarantees data privacy, security, and auditability throughout the AI lifecycle. The system empowers the user to classify input data as "public" or "private," which dictates its routing into one of two segregated processing pathways. The public pathway handles non-sensitive information using external AI models, while the private pathway processes sensitive data in a secure, isolated environment. A novel federated embedding capability safely synthesizes insights from both pathways, enhancing the overall quality of the output through their combination, without exposing raw private data. Underpinning the architecture is a pervasive blockchain layer that provides an immutable, cryptographically verifiable record of every action, enforcing data handling policies and ensuring provable security and compliance for regulated industries.

Methods and apparatuses for improving the performance and energy efficiency of machine learning systems that generate security specific machine learning models and generate security related information using security specific machine learning models are described. A security specific machine learning model may comprise a security specific large language model (LLM). The security specific LLM may be trained and deployed to generate semantically related security information. The security specific LLM may be pretrained with a security specific data set that was generated using similarity deduplication and long line handling, and with security specific objectives, such as next log line prediction based on host, system, application, and cyber attacker behavior. The security specific large language model may be fine-tuned using a security specific similarity dataset that may be generated to align the security specific LLM to capture similarity between different security events.

The invention relates to the technical field of industrial remote control, and discloses a self-adaptive data compression device and method for an industrial wireless remote controller and application, and the method comprises the steps: dividing a to-be-sent original data stream into continuous slow change type data, sparse event type data and high-priority control type data; according to the method, dynamic change characteristics are monitored in real time for continuous slow change type data, and a self-adaptive change threshold value for differential compression judgment is adaptively adjusted according to the dynamic change characteristics, so that the self-adaptive change threshold value can respond to a data state to ensure dynamic balance between control precision and compression efficiency improvement; performing collaborative differential compression coding processing on the various data, and assembling compression coding results from the various data and frame control information into a unified communication frame; sending scheduling is carried out on the assembled communication frames, and the highest sending priority is given to the communication frames containing high-priority control type data, so that low-delay transmission of key control and safety information is ensured.

The invention discloses a robot control method and device, a controller, a storage medium and a computer program product. The robot control method and device are applied to a scene in which a robot is jointly controlled based on safety equipment and N control ends. The control method of the robot comprises the following steps: establishing communication connection with at least one control end which needs to control the robot in the N control ends; recording one control end which currently needs to control the robot in the at least one control end which establishes the communication connection as a current control end; acquiring an operation command sent by the current control end, and acquiring security information sent by the security equipment; and based on the operation command sent by the current control end and the safety information sent by the safety equipment, cooperatively controlling the robot to act. According to the scheme, the multi-terminal equipment, the safety equipment and the robot body are cooperatively controlled, so that the multi-terminal equipment simultaneously controls the cooperative work of the robot, and the programming efficiency and accuracy are improved.

The invention also provides a fusion casting deep well casting intrinsic safety informatization management and control system and a fusion casting deep well casting intrinsic safety informatization management and control method. The system comprises an equipment sensing layer, a region control layer, a data convergence layer, a data center layer and an application layer, the equipment sensing layer is provided with multiple types of industrial Internet of Things sensors; the area control layer adopts a distributed PLC control mode and undertakes production area equipment operation control and collected data preliminary preprocessing. The data aggregation layer realizes protocol conversion, sampling period configuration and data exception filtering and compression through a data acquisition gateway module; the data center layer adopts a remote storage architecture, and deploys a database based on a hyper-converged server; the application layer constructs a safety early warning rule base and a visual interaction interface. By applying the technical scheme, key safety parameter monitoring, risk early warning, intelligent control and visual management are realized, and an industry safety management mode is promoted to be upgraded to intelligentization and refinement.

The invention relates to the crossing field of cloud computing and artificial intelligence technologies, in particular to a tool deployment method, system and device based on a model context protocol, and aims at solving the problem that the integration process of scientific research tools and a large language model (LLM) is complex. A tool description file conforming to a model context protocol specification is automatically generated; in order to meet the rapid and efficient deployment effect of the scientific research tool, a pre-formulated hierarchical construction strategy is adopted, and a container mirror image is generated according to a running environment dependency list in a tool description file, so that the tool construction speed is increased; and meanwhile, on the basis of the security information field and the resource demand list in the tool description file, according to the preset allocation rule, the appropriate operation instance is dynamically allocated, so that the security in the tool deployment process is guaranteed, and the integration and deployment operation efficiency of the tool and the large language model is improved while the labor cost is reduced.

The invention discloses a big data analysis method and system based on heterogeneous monitoring security and protection information, and relates to the technical field of security and protection monitoring, and the method comprises the steps: accessing multi-source heterogeneous security and protection data of a plurality of security and protection subsystems in a target security and protection region based on a unified data interface; performing standardization processing on the multi-source heterogeneous security and protection data to obtain preprocessed multi-source heterogeneous security and protection data; when the abnormal event is identified, performing cross verification on the abnormal event based on the preprocessed multi-source heterogeneous security data, and determining space coordinate information of the abnormal event; and based on the space coordinate information of the abnormal event, marking an alarm position of the abnormal event in the three-dimensional model of the target security and protection area, and performing visual display. According to the invention, the technical problem that false alarm data is easy to occur in abnormal alarm identification in the prior art is relieved.

A system and method in which a network of offchain oracle nodes are used to provide dynamic information to consuming smart contracts in a decentralized computing environment. The off-chain oracle network and a corresponding protocol reduces the likelihood of damage from rogue oracles acting in concert. Periodically, the oracle nodes, jointly and in concert, run the protocol to sign a report containing observations from many of the oracles in the network. The report is transmitted to a smart contract C running on a DLT. The smart contract C can validate the report, pay each oracle node that contributed an observation to the report and expose the median, or other calculated value, of the reported values to the on-chain consuming smart contracts.

A method includes creating a first package of an application, registering the first package with an orchestrator and triggering deployment of the application on a set of target servers. In response to triggering deployment of the application, the orchestrator obtains client identification of security information for the application, deploys the application on the set of target servers, submits the configuration files to a configuration management tool for configuration, applies the configuration files to perform configuration of the application in the set of target servers, and triggers an observability framework (OBF) tool to start application monitoring in response to at least the orchestrator submitting the monitoring configurations to the OBF tool, and monitors the application in the set of target servers. The first package includes deployment files, security information, management configurations of the application, or monitoring configurations for the OBF tool.

To provide a security information derivation device capable of leveling security information to be obtained.SOLUTION: URL storage means stores a preliminarily designated URL. Web page information acquisition means acquires information on a Web page specified by the URL. Text information extraction means extracts text information from the acquired information on the Web page. Security information derivation means derives security information for commercially available software used for a system to be maintained by applying the extracted entire text information to a model preliminarily generated by machine learning. Display control means causes a display device to display the security information.SELECTED DRAWING: Figure 9

An on-die computer apparatus (100) comprises a plurality of cores (106) and a plurality of RAM modules (100). Sets of physical memory addresses in the RAM modules are allocated for use by virtual machines executing on the cores. A plurality of data transfer channels (112) are associated the RAM modules. The apparatus further comprises a channel controller (120) for controlling data transfer over the data transfer channels. The channel controller stores security information indicating which of the VMs is designated as secure, and channel information indicating which of the data transfer channels is assigned for use by each of the VMs for accessing its allocated physical memory addresses. The channel controller directs read / write requests from a VM over the data transfer channel assigned to the VM based on the security information and the channel information.

A security measure support device (100) comprises an input unit (181) that inputs security measure information that indicates security measures against cyber-attacks on systems that include a plurality of devices, a storage unit (120) that stores attack scenarios (see attack scenario database (140)) that indicate attack sequences for the cyber-attacks, an update unit (113) that, on the basis of an updated system that is a system that includes devices to which security measures have been applied in accordance with the security measure information, identifies devices to which security measures have been applied that are included in the attack scenarios stored at the storage unit (120), substitutes the devices to which security measures have been applied for the devices of other systems to update the attack scenarios and create updated attack scenarios, and an output unit (182) that outputs the updated attack scenarios.

A method provides techniques for detecting, on an electronic device comprising a display, an emergency condition based on received trigger data. In response to detecting the emergency condition, emergency information that is securely stored on the electronic device is accessed. The emergency information is rendered and presented on the display of the electronic device, thereby providing first responders to an emergency with important information for providing immediate care to a victim of an emergency condition and / or contacting emergency contacts to alert them of the emergency.

Methods and apparatus for performing mobility in a wireless communication network. An example method, performed by a network node configured to provide a serving cell to a user equipment, UE, and comprises the step of requesting (6001), from a second network node, security information for potential use by the UE after a mobility procedure to the second network node. The example method further comprises receiving (6002) one or more security parameters from the second network node, in response to the request, and forwarding (6003) the one or more security parameters to the UE, for its use in deriving keys for communication with the second node after performing mobility towards the second node.

The invention relates to the technical field of air traffic control, in particular to a multi-mode fusion real-time intelligent monitoring system for air traffic control command. According to the method, a three-dimensional intelligent analysis system of interface situation analysis-voice instruction recognition and understanding-air traffic control information fusion is constructed, and a safety monitoring closed loop of an air traffic control command whole process is realized on the premise that an existing system architecture is not changed; and real-time deduction and risk early warning of the airspace security situation are realized. The generated early warning information is synchronously pushed to a radar controller, an assistant controller and a main controller in a standardized visual and audio coding form through a newly-added safety information prompting module, a three-in-one cooperative cognitive space is constructed, the problem of information asymmetry among multiple seats and multiple on-duty roles in a traditional mode is effectively solved, and the safety of the system is improved. And important technical guarantee is provided for safe operation of civil and aviation pipes.

The invention relates to a resource security information data processing method and system, a terminal and a medium, and relates to the field of resource security management technology, and the method comprises the steps: receiving a registration request submitted by a tenant terminal; performing first identity verification on the tenant terminal according to the registration request, and generating an access permission; according to the registration request, allocating an exclusive virtualized resource pool for the tenant terminal in a virtualized environment; in response to an access request submitted by a tenant terminal, obtaining an access permission; performing second identity verification on the tenant terminal according to the access permission to obtain an identity verification result; when the identity verification result shows that verification is passed, in response to the file operation instruction, performing encryption processing on the target data to obtain encrypted data; and performing data transmission operation on the encrypted data. The method and the device have the effect of guaranteeing the isolation of resources and the security of data among different tenants.

The invention provides a charging management method, a charging management system and electronic equipment, and the method comprises the steps: obtaining the user charging information of a to-be-charged vehicle, and determining a user behavior coefficient; collecting state information of a charging environment, and determining an environment state coefficient based on the state information; acquiring safety information of the charging facility, and determining a facility safety coefficient based on the safety information; based on the user behavior coefficient, the environment state coefficient and the real-time working parameters of the to-be-charged vehicle, the charging adaptation degree of the to-be-charged vehicle under the real-time working parameters is determined; and correcting the reference charging current based on the charging adaptation degree and the facility safety coefficient to obtain a target charging current of the to-be-charged vehicle. In the mode, the reference charging current can be dynamically corrected by integrating the charging demand of the user, the environment state and the facility safety, so that the accurate adaptation of the charging strategy to the personalized demand of the user and the real-time health state of the battery is realized on the premise of ensuring the safety of the field facility and the stability of the power grid.

Systems and methods for generating predicted end-to-end cyber-security attack characteristics via bifurcated machine learning-based processing of multi-modal data are disclosed. The system accesses multi-modal data indicating a set of security information related to a computing system. The system then generates a set of extracted characteristics indicating a cyber-security attack on the computing system, via a supervised machine learning model, using the multi-modal data. Using this information, the system generates a revised set of extracted characteristics indicating the cyber-security attack, via an unsupervised machine learning model, using the extracted set of characteristics indicating the cyber-security attack, where the revised set of characteristics includes at least one new characteristic that was not included in the extracted set of characteristics indicating the cyber-security attack on the computing system. The system then generates for display a graphical representation of the revised set of extracted characteristics.