21 results about "Is security" patented technology

The application discloses a kind of based on device code's risk scanning method, system and computing device, comprising: obtaining a device code, the device code is obtained from first device, and the device code is sent from first device to second device;Wherein, the device code includes at least one software code;Generate an update record;Wherein, the update record includes the relationship record between the device code and the first device and / or the second device;When detecting that there is security risk in the device code, according to the update record, scanning result is sent to the first device and / or the second device.The application can automatically send scanning result to user by the update record generated automatically, improve the efficiency and accuracy of risk scanning.

An information processing apparatus includes a collection unit for inputting instruction information used to collect information related to a security incident, into a model that generates and outputs an answer based on an input instruction and causing the model to collect answer information related to the security incident and an extraction unit for extracting information indicating the security incident and information indicating an organization to be a subject of the security incident, based on the answer information.

Methods, systems, and computer storage media for providing security incident management using a security graph layering engine in a security management system. Security incident management is provided using the security graph layering engine that include multi-layer security graph that supports querying a security graph using a multi-layer representation of data associated with security graph. In operation, a security graph associated with a plurality of security resources in a cloud environment is accessed. Based on accessing the security graph, a multi-layer security graph is generated. The multi-layer security graph is a multi-layer representation of the security. The multi-layer security graph is deployed. A security query associated with the multi-layer security graph is accessed. The security query is executed based on the multi-layer security graph, executing the security query generates a query result. The query result is communicated to a security incident management client to cause display of the security query results.

An integrated circuit device includes a hardware processor. The integrated circuit device is safety certified. The hardware processor is capable of executing a hypervisor and a real-time operating system (RTOS). The hypervisor is a level 1 hypervisor and is safety certified. The RTOS is safety certified and operates as a first guest machine of the hypervisor. The RTOS is capable of performing a safe operation for a functional safety feature.

This disclosure relates to a device control method, apparatus, electronic device, storage medium, and program product. The method includes: in response to a first device receiving a target operation instruction, determining a target control instruction, wherein the target control instruction is used to instruct a second device to perform a target operation, the second device being at least one device in a device domain where the first device resides, and the first device being a core device in the device domain; and sending the target control instruction to the second device. In this disclosure, the first device and the second device are located in the same device domain. Control between two devices in the same device domain is secure. Therefore, when the first device controls the second device in its device domain to perform a target operation, no additional authentication is required, thus improving the convenience of cross-device control while ensuring its security.

The invention is in the field of computer technology. The invention describes an architecture of a safety automation system and a method for safely autonomously operating a technical device. The architecture solves the problem that every possible Byzantine error, whether caused by an accidental malfunction of hardware, a design error in software or an intrusion, must be identified and contained, so that no safety-relevant event occurs. The architecture consists of four largely independent subsystems, which are arranged hierarchically and each form an encapsulated fault containment unit. At the top of the hierarchy is the safety subsystem, i.e. the fault-tolerant decision subsystem, which executes simple software on fault-tolerant hardware. The other three subsystems are unsafe because they contain complex software. It is empirically difficult to find all design errors in a complex software system and to prevent intrusions. Due to redundancy and diversity, every error of the unsafe subsystems is masked so that no safety-critical malfunction occurs.

An automated driving system includes a security companion subsystem to access data generated at a compute subsystem of the automated driving system, which indicates a determination by the compute subsystem associated with an automated driving task. The security companion subsystem determines whether the determination is safe based on the data. The security companion subsystem is configured to realize a higher safety integrity level than the compute subsystem.

The invention discloses an intelligent fault diagnosis and processing method and system for a refrigerating system. The method comprises the steps that operating parameters of an internal auxiliary system and an external auxiliary system of the refrigerating system are collected; acquiring a current working condition reference parameter, and identifying as abnormal when the internal parameter deviates from the reference overlimit; causal analysis is carried out by combining external parameters, and fault roots and types are judged; if the monitoring data are invalid, calculating a virtual substitution value by using thermodynamic coupling parameters to maintain operation; if the security risk performance declines, actively adjusting the control parameters to compensate the performance loss; and if the fault is a safety risk fault, shutdown is executed. According to the method, false alarms are reduced through the working condition self-adaptive benchmark, fault sources are accurately distinguished through cross-system cooperation, a fault-tolerant mechanism is established to avoid unnecessary shutdown, and conversion from passive maintenance to active operation and maintenance is achieved.

1. The name of the design product: the front panel of security system keyboard. 2. The use of the design product: the overall use of the design product is the keyboard for building, home security system or access control system; the partial use is the front panel of security system keyboard. 3. The design points of the design product: the shape of the claimed partial design. 4. The picture or photo that best shows the design points: perspective view. 5. Other circumstances that need to be explained: the design claimed in the present design patent is a partial design, wherein the solid line part represents the claimed part and the dashed line part represents the part not constituting the claimed part.

The invention discloses a security decision-making method and device based on a multi-modal large language model. The method comprises the following steps: acquiring a target question which is input by a target object and is composed of information of multiple modes; the safety decision model is used for analyzing the target problem to obtain a logical reasoning link, and the reasoning result comprises a problem solution generated when the information of the multiple modes is respectively safe and is still safe after being combined, or risk prompt information generated when the information of the multiple modes is respectively safe and has a safety risk after being combined. The security decision model is obtained by performing optimization training on a multi-modal big language model by using a plurality of groups of multi-modal problems which are formed by a plurality of pieces of security single-modal information and have security risks as sample data; and outputting a target logical reasoning link or a reasoning result to the target object. According to the method and the device, the technical problem that the hidden reasoning risk possibly generated by information combination of multiple modes is easily ignored when a traditional model analyzes the multi-mode information is solved.

1. Name of the product in this design: Graphical User Interface for Log Easy Security Product Architecture Diagram for Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Uses of the graphical user interface: It plays an important role in communication and collaboration, design guidance, system analysis, decision support, knowledge transfer, connecting business and technology, clarifying product boundaries, formulating development plans, improving security and supporting compliance. It is an indispensable tool in the development and management of security products. 6. Human-computer interaction method of graphical user interface: The main view is the initial interface; clicking the cube icon in the middle of the main view will take you to the interface change state diagram.

The application discloses a kind of based on station type identification auxiliary interlocking data design system and method, belong to the field of track traffic signal interlocking computer simulation, including input data processing step, station topological structure diagram generation step, general station type data editing storage step, special station type data editing storage step, and matching query output step, in project design liaison stage can efficiently identify that interlocking product does not support special station type, facilitate project data design personnel to carry out influence analysis, the station type that there is security risk and influence operation efficiency is discovered early and feedback optimization station type design, realize from source to eliminate hidden danger and influence, avoid in later interlocking data production stage discovery only through special design means to eliminate the influence brought by this special station type and additional increase data design auditing workload.

The invention discloses a steam turbine safety monitoring protection method and system, and relates to the technical field of steam turbine safety monitoring protection, and the method comprises the steps: S1, a TSI sensor of each measurement signal of a current TSI system collects a TSI measurement signal, and an audio sensor beside the TSI sensor collects an audio signal; the collected TSI measurement signals and audio signals are sent to the data processing and logic judgment module; s2, the data processing and logical judgment module performs spectral analysis on the audio signals, then performs linkage cooperation with TSI measurement signals, judges whether the positions of all the parts have potential safety hazards or not in advance when the steam turbine bearing operates in a data modeling mode before all signal thresholds of a current TSI system are not triggered, and if yes, judges whether the positions of all the parts have potential safety hazards or not; and if the potential safety hazard exists, indexing to a specific potential hazard position according to the logic instruction. According to the invention, a set of audio monitoring and early warning system is arranged and is linked and matched with the current TSI system, so that the safety monitoring and protection performance of the steam turbine is further improved, and the operation efficiency and economical efficiency of a unit are improved.

This invention discloses a method, inference device, computer-readable storage medium, and computer device for hallucination suppression inference in medical visual language models. The method involves inputting medical images and text problems into a medical visual language model to obtain preliminary inference results. The preliminary inference results are then subjected to a stability assessment to determine if they meet preset stability conditions. If the preliminary inference results meet the preset stability conditions, they are output; otherwise, a correction phase begins. Based on the stability assessment results, the preliminary inference results are dynamically corrected to obtain corrected inference results. The corrected inference results are then subjected to security verification to determine if they meet preset security conditions. If the corrected inference results meet the preset security conditions, they are output. This method improves the adaptability of the correction process and ensures that the corrected inference results are safe and reliable.

The application discloses a kind of cloud native application security detection method, device, server, medium and product, involve cloud security technical field.The method comprises: in the case where it is determined that cloud native application exists security detection demand, the application operation log of cloud native application is determined, and cloud configuration component accessed by cloud native application;Based on security scanning rule, the application operation log of cloud native application and cloud configuration component are scanned, and the security scanning result of cloud native application is obtained;In the case where security scanning result indicates that there is security risk item, determine the cloud service data threatened by security risk item, cloud native application can call cloud service data in running process;Determine the security repair scheme related to cloud service data, to make based on security repair scheme repair security risk item.Can realize the security risk review process of automation.

A method may include receiving monitoring data including a first monitoring event, a second monitoring event, and a third monitoring event associated with a computing system. The method may further include may determining, by a first predictive model, that the first and the second monitoring events are security-related while the third monitoring event is not security-related, a first feature set for the first monitoring event, and a second feature set for the second monitoring event. The method may further include determining, by a second predictive model, that the first and second feature sets relate to a first threat, and a third feature set that is associated with the first threat. The method may further include determining whether to perform an incident response action based on the third feature set.

A system and methods are disclosed for end-to-end provable guarantees for safety critical computer platforms. The technical problem addressed by this invention is the need to provide assurance that a complex safety-critical computer platform behaves as intended and is secure, particularly in safety-critical contexts where errors or malicious attacks can have devastating effects. Despite advances in methodologies and toolchains for high-assurance software production, there remains a significant gap between theoretical guarantees and practical implementation at the operation instruction level (e.g., Assembly language instruction, byte-code instruction, digital circuit state-machine instruction etc.). The present invention overcomes this limitation by providing a system for verifying key security properties for safety-critical computer platforms at the operation instruction level without reliance on custom generation pipelines or certified compilers, thereby enabling the practical development of more secure and reliable computer platforms.

Methods, systems, and computer storage media for providing security incident management using a security graph layering engine in a security management system. Security incident management is provided using the security graph layering engine that include multi-layer security graph that supports querying a security graph using a multi-layer representation of data associated with security graph. In operation, a security graph associated with a plurality of security resources in a cloud environment is accessed. Based on accessing the security graph, a multi-layer security graph is generated. The multi-layer security graph is a multi-layer representation of the security. The multi-layer security graph is deployed. A security query associated with the multi-layer security graph is accessed. The security query is executed based on the multi-layer security graph, executing the security query generates a query result. The query result is communicated to a security incident management client to cause display of the security query results.

Techniques for implementing an AI threat modeling tool are disclosed. A static analysis tool is used to extract candidate code snippets from a code repository. The candidate code snippets are identified as potentially security-related code elements. The static analysis tool generates an additional context associated with the candidate code snippet. LLM cues are generated. The hint is configured to include a candidate code snippet, a context, and an indication to assign a classification to the candidate code snippet. The classification includes source classification, sink classification, purifier classification, or flow step classification. The LLM operates on the hint to generate an output that includes the particular classification of the candidate code snippets. The output is formatted as a data extension file that is consumable by a static analysis tool.

The application discloses a kind of account risk detection method, device, computer equipment and storage medium, belong to computer technical field.The method comprises: detecting and account associated alarm event, alarm event refers to the event that the login behavior of account exists exception;Detecting and account associated fragile event, fragile event refers to the event that there is security risk in the login environment of account;Value information of account is obtained, value information indicates the value of account, value information includes at least one of permission information or real-name information, permission information indicates the authority that account has, and real-name information refers to the information associated with user that account is bound;By evaluating the severity of alarm event, the severity of fragile event and the importance of value information, determine risk detection result.The application considers the login behavior, login environment and value information of account, and according to the value of account by evaluating the authority and real-name condition of account, improve the accuracy of risk detection to account.