87 results about "Security design" patented technology

The invention belongs to the technical field of SoC design and verification, and discloses an RISC-V security SoC verification and evaluation method based on a virtual platform, and the method comprises the steps: building a processor behavior mode according to a target design requirement, and carrying out the configuration of a selectable RISC-V instruction set; building a transaction-level model of the bus, the peripheral and the security module library; performing circuit-level design, and defining a time sequence, an area and a power consumption model of each module; adjusting the configuration file setting of the security module library to determine a security module to be started, constructing an SoC virtual platform, and calculating the area of the designed security SoC; simulating an application program on the virtual platform, and recording time sequence and power consumption data simulated by the virtual platform; the simulation result is compared with the expected area, time sequence and power consumption data, and if the comprehensive evaluation result meets the safety SoC design requirement, the virtual platform designed in the round is determined as the final design scheme. According to the invention, simulation verification and performance evaluation of the RISC-V security SoC are realized.

To provide a safety design device, a safety design method, and a safety design program capable of deriving a security parameter whose safety is guaranteed in encryption design based on a Reused-A-LWE problem using a discrete Gaussian distribution as an error distribution.SOLUTION: A safety design device 1 includes: an inputting portion 11 that receives input of parameters n, m, q, s1, s2 of a Reused -A-LWE problem with a discrete Gaussian distribution as an error distribution; a calculation portion 12 that calculates a parameter sb of the LWE problem with the discrete Gaussian distribution as the error distribution from the parameter s1 and a constant C; an acquiring portion 13 that acquires a security parameter λ of the LWE problem by a calculation formula that guarantees predetermined safety; and an outputting portion 14 that outputs the acquired security parameter λ as a security parameter of the Reused -A-LWE problem.SELECTED DRAWING: Figure 1

A security design support device is configured to input system information indicating a component of a system and including information indicating a subsystem; generate a first threat scenario indicating a security threat; obtain a risk level of the first threat scenario; estimate a takeover possibility that is a possibility that the subsystem is taken over using a second feasibility that is a feasibility of the first threat scenario when a necessary countermeasure is implemented against the first threat scenario of which the risk level is equal to or higher than a predetermined level; generate a second threat scenario indicating a security threat that occurs with the subsystem that is taken over as a starting point when the takeover possibility is equal to or higher than a predetermined level; and output the second threat scenario.

The present invention discloses a watchdog circuit and a method for recovering a satellite computer fault that combines software and hardware, and belongs to the field of aerospace computer security design. The watchdog circuit proposed by the present invention generates three dog bite signals, and measures are taken in sequence according to the severity of the fault, which can ensure that the fault is effectively resolved. The satellite computer fault recovery method that combines software and hardware of the present invention adopts a redundant dual-machine cold standby design for the satellite computer, and a single machine has a watchdog circuit that can generate non-maskable interrupts, system resets, and signals to open the other machine in sequence; if a hardware failure causes continuous abnormal resets, it is impossible to enter the normal working mode. The software adopts the following strategy: the host machine switches to the standby machine after being reset 6 times in a row, and the standby machine switches to the minimum mode after being reset 6 times in a row. The present invention has been implemented and verified in actual projects, and can effectively solve various software and hardware failures.

A method and system are directed to protecting a hardware design against confidentiality and integrity attacks, the method comprising providing a bootable image (BI) to a tenant computing entity; receiving a certificate chain originating from the tenant computing entity via the BI; validating the certificate chain with a certificate authority; providing a design rule data object to the tenant computing entity via the BI; receiving an secure design rule result data object and an encrypted bitstream; determining a match of the secure design rule result data object with the design rule data object; and programming a cloud programmable logic instance with a decryption of the encrypted bitstream based at least in part on the match.

The invention discloses an Internet of Things industry intelligent customer service supervision and control system based on artificial intelligence, and belongs to the technical field of customer service supervision. Comprising an omni-channel intelligent access and intention understanding module, an AI intelligent center and complex decision module, an intelligent supervision and ethical regulation and control module, a man-machine cooperation and humanistic care module, a data-driven optimization and edge intelligent module and a security privacy and controllable treatment module, and the omni-channel intelligent access and intention understanding module is used for integrating multiple channels. Unified request distribution is achieved, data input by a user are analyzed through voice recognition, NLU natural language understanding and image recognition technologies, composite intentions are accurately captured, interaction strategies are dynamically adjusted in combination with device state data, user historical behaviors and real-time positions, and pacified talking skills or manual intervention are triggered through voiceprint / text emotion analysis. On the basis of realizing customer service supervision and regulation, all-channel fusion and intention accurate analysis can be realized, and ethical safety integrated design can be realized.

The invention relates to the technical field of hoisting equipment, and discloses material hoisting equipment for constructional engineering, the material hoisting equipment comprises two fixing frames, an outer support, a winch and a cage, the two fixing frames are symmetrically mounted on a building platform, the outer support is hinged to the fixing frames, and a first steel rope on the winch winds around the outer support to hoist the cage; after the winch lifts the lifting cage to the platform where the fixing frame is located through the first steel rope, the first steel rope pulls the outer support to rotate, so that the lifting cage is transferred to the platform, and through structural innovation and safety design, the operation problem of traditional lifting equipment in a space limited scene is effectively solved; the lifting cage is more suitable for material lifting operation after a main body structure of a low-rise building is completed, the lifting cage is vertically lifted to the height of the platform firstly through winding of the first steel rope, then the outer support is pulled to rotate, the lifting cage is stably transferred to the platform, and the construction efficiency and safety are improved.

The invention belongs to the technical field of artificial intelligence and data mining, and particularly discloses an engineering safety design document visual review model training method, which comprises the following steps of: marking entities and relationships in various engineering safety design documents, and constructing a scheme global template consisting of triples of a first entity, a relationship and a second entity; training a self-encoding language model by utilizing the scheme global template to obtain a span semantic vector; and training the recurrent neural network model by using the span semantic vector and the scheme global template to complete the training of the engineering safety design document visualization review model. According to the method, not only can the surface content of the document be examined, but also potential safety risks and problems in the document can be found, and the examination comprehensiveness, accuracy and efficiency are greatly improved.

The invention discloses a software security detection method and a security development process management system. The method relates to the field of supply chain information security or other related fields, and comprises the following steps: under the condition of receiving software initial data of target software, controlling a security design module to draw a software security architecture diagram according to the software initial data, and determining M security attribute values based on the software security architecture diagram; controlling a security modeling module to obtain N security requirements from a security database according to each security attribute value to obtain Y security requirements; and controlling the demand detection module to detect the Y security demands to obtain a detection result of the target software, and under the condition that the detection result represents that the detection is not passed, re-drawing the software security architecture diagram until the detection result associated with the updated software security architecture diagram represents that the detection is passed. Through the software security detection method and device, the problems of low detection efficiency and low detection accuracy during software security detection in related technologies are solved.

The invention relates to an information-missing-oriented super-large-scale integrated circuit security design detection method, and belongs to the field of hardware Trojan horse detection. The method comprises the following steps: analyzing a gate-level netlist design file of the super-large-scale integrated circuit with missing information, creating directed graph representation, performing feature representation coding on logic gate nodes, and constructing circuit directed graph data; performing structural reasoning on the directed graph data by using a graph variation auto-encoder GraphVAE, complementing a circuit structure with information loss by using a decoder, and constructing complemented circuit directed graph data; performing logic gate type, fan-in and fan-out quantity, betweenness centrality and neighborhood type distribution calculation on the complemented data, and combining and splicing the complemented data into circuit gate characteristics; and constructing a graph neural network model GNN, further extracting deep-level features through graph convolution operation, and performing reasoning training by adopting a multi-layer perceptron to realize hardware Trojan classification. According to the method, the hardware Trojan of the gate-level netlist under the condition of information loss can be effectively detected.

The invention discloses a quantitative FMECA-based six-property integrated design method for a weapon station. The method comprises the following steps: step 1, carrying out system definition on the weapon station; step 2, fault mode analysis; step 3, fault reason analysis; step 4, fault influence and severity analysis; step 5, a fault detection method; step 6, design improvement and use compensation measure analysis; step 7, analyzing harmfulness; determining the scope of reliability design according to the step 7; determining the scope of maintainability design according to the steps 2 to 4; determining the scope of the supportability design according to the steps 5-6; determining the category of testability design according to the step 5; determining a security design category according to the step 2 and the step 5; and determining the scope of the environmental adaptability design according to the step 2. According to the method, quantitative FMECA analysis is firstly carried out on the weapon station, design is improved and optimized based on the quantitative FMECA analysis result, and performance and six properties are integrally and synchronously carried out.