14 results about "Distributed security" patented technology

The application provides a distributed security outsourcing computing processing method based on sparse matrix transformation, and relates to the technical field of computers, and the method comprises the following steps: acquiring a first matrix and a second matrix; randomly generating a key set comprising a binary permutation matrix, a sparse triangular matrix and a random vector; performing primary encryption on the first matrix and the second matrix based on the binary permutation matrix; performing secondary encryption on the primary encrypted matrix based on the sparse triangular matrix; distributing the secondary encrypted first secondary encrypted matrix to each edge end in an integrated manner, distributing the second secondary encrypted matrix to each edge end in an even manner after dividing the second secondary encrypted matrix into column vectors according to columns, and enabling the edge end to perform a subtask calculation operation by using the received matrix and return the result to the user end; receiving the calculation results of the edge ends, and aggregating the results; verifying the reliability of the aggregated results by using the random vector, and decrypting the final calculation result. The scheme can improve the security and timeliness of outsourcing computing.

This invention discloses a distributed safety learning control method for mobile robot swarms, relating to the field of robot cooperative control technology. The method includes: calculating the future short-term motion position based on a nominal control quantity, and calculating the predicted neighborhood distance by combining it with a neighborhood state set to form multiple sets of safety constraints; combining these multiple sets of safety constraints with environmental boundary information to form obstacle avoidance constraints, and establishing constraint priority rules with actuator limits; obtaining a hierarchical safety constraint set by adding constraint level identifiers; using the nominal control quantity as the optimization objective and the hierarchical safety constraint set as the constraint conditions to construct a local optimization subproblem, and performing a distributed solution using the alternating direction multiplier method to generate a safe and feasible control quantity. This invention achieves the output of safe and feasible control quantities without centralized computation, thereby improving the real-time performance and reliability of swarm cooperative control.

Techniques for network-on-chip (NoC) memory addressable encryption and authentication. In an embodiment, NoC circuitry includes NoC routing circuitry, memory circuitry that stores a security parameter, and security circuitry that secures (e.g., encrypts and / or authenticates) a payload based on the security parameter. The security circuitry may secure the payload before the payload is packetized for transmission through the NoC, after the payload is de-packetized for output to an endpoint, or as the payload transits the NoC. The security circuitry may be centralized or distributed amongst access points of the NoC. Distributed security circuitry may exchange a security parameter over a secure link of the NoC circuitry. The security circuitry may include decryption circuitry that decrypts a response from a first endpoint before the response is packetized for transmission through the NoC, after the response is de-packetized for output to a second endpoint, or as the response transits the NoC.

This invention discloses a method, apparatus, and medium for allocating business data of securities institutions based on directed links, relating to the field of data storage technology. By acquiring directed links, this invention transforms the complex flow of historical processed data within the securities institution's business data platform into structured information, simplifying the information representation. Simultaneously, it acquires the data to be processed and constructs incremental links based on the data processing procedure of the data to be processed, enabling the use of the directed link update process to reflect the pre-storage process of the data. An incremental evaluation score is obtained by weighted fusion of a first evaluation score and a second evaluation score. By fully considering the changes in complexity and information completeness of the directed links, the impact of the data to be processed on historical processed data is fully considered, thereby making the judgment process of the incremental evaluation score more accurate. Finally, the data is allocated to storage space suitable for the data reading and retrieval method, thus improving the accuracy of the securities institution's business data allocation process.

The application discloses a non-line-of-sight traffic participant perception method based on multi-source topology alignment, wherein mobile terminals in a region periodically collect motion states and coordinate information of the mobile terminals, and perform distributed safety beacon broadcasting; adjacent mobile terminals in the region communicate with each other, and the mobile terminals can integrate safety beacon packets with each other to form a 'cooperative perception list'; in a vehicle alignment and identification stage, the vehicle side communicates with the mobile terminals in the region to obtain the 'cooperative perception list'; meanwhile, the vehicle side uses vehicle-mounted sensors to obtain feature points and three-dimensional space coordinates of all pedestrians in a surrounding visual visible range; the latitude and longitude coordinates or relative positions in the communication list are subjected to space transformation with the relative coordinates in the vehicle-mounted sensor perception list, and are aligned into a unified local coordinate system of the vehicle; and a virtual-real list alignment algorithm is used to detect whether there is a 'hidden target'.

The application discloses a kind of multi-agent formation generation and control method based on distributed security affine transformation, to solve the problem that multi-agent system is difficult to consider formation geometry maintenance and safety obstacle avoidance in complex obstacle environment. First, introduce parameter level control barrier function, directly impose safety constraints in affine parameter space, to ensure that the generated reference formation is theoretically collision-free;Second, construct a distributed optimization problem based on safety constraints and consistency constraints, use distributed algorithm to make all agents reach consensus on public affine parameters, so as to produce coordinated and consistent formation deformation;Finally, use the quadratic programming controller of agent-level CBF as the bottom controller, track the generated safety reference trajectory. Through double-layer safety architecture, the application realizes online safety generation of reference formation and accurate tracking of actual motion, effectively improves the formation keeping ability and task execution efficiency of multi-agent system in chaotic environment.

A computer-implemented method for creating and distributing security tokens representing a resource source. The method includes: receiving instructions for creating a first resource source on a platform; receiving variables associated with the first resource source as input; creating a set of protocols based on the variables; generating one or more tokens based on the received variables and protocols; wherein generating the one or more tokens includes: generating and recording a first transaction in a token transaction ledger; and distributing a portion of the one or more tokens to a third party, the distribution further including: receiving a request to purchase a portion of the one or more tokens; verifying payment for a portion of the one or more tokens; minting a set of tokens; transferring the set of tokens to the third party; and destroying a portion of the one or more tokens from the platform.

Disclosed are systems and methods for providing distributed security event monitoring. The system can include a central monitoring system and sensor devices positioned throughout a premises that passively detect conditions and emit signals guiding people on the premises when a security event is detected. The sensor devices can include suites of sensors and can transmit detected conditions to the central monitoring system. The central monitoring system can combine the detected conditions to generate a collective of detected conditions, determine whether the collective of detected conditions exceeds expected threshold conditions, identify a security event on the premises based on the collective of detected conditions, classify the security event using machine learning models, generate instructions to produce audio or visual output at the sensor devices that notifies people on the premises about the security event, and transmit the instructions to the sensor devices to emit signals indicating information about the security event.

The application provides a three-dimensional stacked chip, a distributed security starting method and an electronic device. The three-dimensional stacked chip comprises a plurality of stacked units interconnected through a uniform chip particle interconnection interface and a central security controller. A hardware encryption engine and a security engine are configured in each stacked unit. The hardware encryption engine is used to establish an encrypted transmission link between adjacent stacked units by using an independent session key. In a serial security starting mode, the security engine of the upper-level stacked unit passes a hardware trust token to the lower-level stacked unit through the encrypted transmission link after local verification. The security engine of the lower-level stacked unit checks the token, and only after the check succeeds, the local security verification is performed, thereby constructing a hardware trust chain step by step. After all the units are verified, the central security controller starts the chip. The application realizes a cooperative security starting which takes into account high security and flexibility.

A distributed security system includes a detection unit disposed at a first location. The detection unit includes a particle sensor that is configured to detect a particle count in first location. The detection unit also includes a housing enclosing a portion of the particle sensor. The security system also includes a camera disposed at a second location and having a field of vision encompassing the first location. The camera is configured to capture a video of the first location. The system also includes a server communicatively connected to the detection unit and the camera and configured to associate the particle count with the video.

This invention discloses an intent-driven robot motion control chip and its distributed safety control system. The chip includes: an intent interface module that receives semantic intent vectors output by an AI layer; an intent decoder that verifies legality; an action primitive mapping engine that maps the intent to joint trajectories; a hardware-level safety constraint module that uses a one-time fuse to solidify joint limit parameters and uses a combinational logic mask to trim them to a safe range, with the mask located in a single signal path without bypass; and an actuator drive interface that outputs control signals. The chip can be distributed and embedded in each joint to achieve decentralized safety control, and each chip independently maintains a safe state when the main controller fails. This invention achieves physically unbypassable safety through hardware-level constraints, ensures deterministic latency, eliminates single points of failure, and ensures task continuity while maintaining safety through mask trimming.

This invention relates to the field of network security technology, and particularly to an intelligent distributed security situation analysis method and system based on knowledge graphs. The method includes: standardizing multi-source heterogeneous raw data; extracting entity relationships from cyberspace based on standardized real-time situation data, and updating node attributes and associated edges of the initial knowledge graph; quantifying and encoding the attribute information of asset objects and the connection topology between asset objects; filtering multi-step reachable paths between asset objects; extracting exposure surface indicators and quantifying vulnerability indicators for asset objects in the dynamically evolving knowledge graph, and analyzing high-risk asset object identifiers and high-risk associated edge identifiers; and dynamically configuring the sampling period and sampling depth parameters of distributed data collection nodes. This invention can reflect the dynamic evolution of assets, traffic, and logs in cyberspace in real time, improving the accuracy of security monitoring.

The application discloses a kind of multi-node monitoring data legitimacy verification method and system based on MPC fragmentation key, it is related to distributed security monitoring and data verification technical field, wherein, multi-node monitoring data legitimacy verification method based on MPC fragmentation key, including: n protection nodes are generated by threshold key fragmentation protocol jointly negotiated public key PK and a group of distributed key fragments, each protection node only holds a key fragment, after monitoring event triggers, relay node verifies each protection node based on the key fragment held by itself packet by packet verification monitoring data D obtained by monitoring data verification data packet, reach standard, i.e. the joint signature of monitoring data D is obtained by aggregation, center node or smart contract is verified by public key PK and threshold participation proof, judge data legitimacy.The application can significantly improve the anti-forgery capability, anti-collusion capability and overall verifiability of multi-node monitoring network without exposing key fragments, without leaking node identity and monitoring data details.