55 results about "Security measurement" patented technology

The invention discloses a wireless authentication and privacy infrastructure (WAPI) intelligent air switch, an end-network-cloud security measurement and control method and system thereof and a medium, and relates to the field of power internet of things security. A closed-loop system consisting of terminal equipment, a WAPI wireless access network, an authentication server and a cloud management platform is constructed; the authentication server verifies a negotiation session key and establishes an encrypted communication link, the terminal collects electric power parameters, encrypts and uploads the electric power parameters to the cloud, the cloud analyzes the electric power parameters and then issues a control signal, the terminal verifies and analyzes the electric power parameters through a trusted execution environment and drives an execution mechanism to operate, meanwhile, a power consumption mode is dynamically switched, and the cloud stores logs in a hash chain mode. According to the invention, through the technologies of hardware encryption, isolation execution and the like, the communication security and the equipment reliability are improved, and the requirements of high security, low power consumption and traceability of an electric power scene are met.

The invention discloses a black box differential privacy security measurement method and device, equipment and a storage medium, and relates to the field of data encryption. Extracting two noise-added data sample sets from the training samples, scoring and sorting the first sample set by using a classifier, and constructing an attack set according to a scoring and sorting result; estimating an event formed by each data pair by using the second sample set, and estimating a lower bound value of a privacy budget confidence interval according to each event to determine a maximum event; adding noise to the maximum event to generate a test set, and performing kernel density estimation by using a kernel density function; and constructing a privacy loss function, calculating a maximum loss value and a loss maximum point corresponding to the maximum loss value in the input space, calculating the confidence level of the black box differential privacy algorithm, and calculating the lower bound value of the privacy budget. Compared with a black box differential privacy algorithm, the method has the advantages that potential violation events are pre-screened, so that the requirement of traversing all events is avoided, the operation time of an epsilon value estimation program is shortened, and the working efficiency is improved.

The invention discloses a security measurement system for data transmission encryption, and particularly relates to the field of data disaster tolerance, and the system comprises an identification module, an acquisition module, a seed generation module, an AST construction module, a variation module, a verification module and a packaging module. The authentication module verifies whether the equipment or the software is in an unauthorized state or not by constructing a preposed feature vector; and the acquisition module is used for acquiring the internal environment characteristics and the external environment characteristics of the equipment or the software when the judgment result of the identification module is in an unauthorized state, splicing the internal environment characteristics and the external environment characteristics into character strings, calculating a hash value for the splicing result of the character strings through a hash function, and outputting an environment entropy character string. Through AST variation based on environment entropy and double random seed drive, dynamic randomization of backup and recovery scripts is realized, supply chain attack is prevented, even if an attacker tampers a configuration file, the script security is relatively ensured by a dynamic generation and key protection mechanism depended in the recovery process, and thus the integrity of data disaster tolerance is ensured.

The invention relates to the field of information security passwords, and discloses a password security measurement method based on a large language model and a multi-side channel differentiator, which comprises the following steps: analyzing the characteristics of SPA according to simple energy, and designing various side channel differentiators such as segmentation, preprocessing, data statistics, dimension reduction, clustering and continuous rule limitation based on common analysis means; when the password equipment runs a target algorithm, acquiring side information data such as illumination, energy or electromagnetism in the running process of the password equipment; based on the collected side information data, different side channel distinguishers are selected, expert version cues with side channel analysis knowledge are formed through fusion, and analysis targets and tasks are described. According to the method, security automatic measurement can be carried out on password equipment with multiple protection means such as random delay and mask by utilizing a general large language model without expert participation or professional analysis tools, and compared with a common SPA security measurement method, the false alarm rate gt is reduced under the condition of the same sample size; the sample size is reduced by gt under the same accuracy rate; and therefore, the accuracy of the side channel security measurement is greatly improved, and the cost of resources such as labor and the like is reduced.

The invention discloses a power distribution network high-precision semantic segmentation and dynamic hidden danger distance measurement method and system, and relates to the technical field of power distribution network hidden danger detection. Time sequence data analysis is carried out, and action time sequence characteristics are captured; establishing a three-dimensional model based on the three-dimensional point cloud and deep learning; and an intelligent early warning and management and control system is established. According to the method, the detection precision of the small target is improved, dynamic behavior time sequence signals are fully utilized, high-precision safe distance measurement based on the three-dimensional point cloud is realized, an efficient early warning and management and control system with expandability and adaptability is constructed, meanwhile, the robustness and generalization ability of the system are enhanced, and the method is suitable for large-scale popularization and application. And the dependence of manual intervention is reduced. In addition, the safety and reliability of the power distribution network can be improved, the maintenance cost is reduced, the working efficiency is improved, scientific and technological innovation is promoted, the emergency response capability is enhanced, sustainable development is supported, resource waste and environmental pollution are reduced, and comprehensive benefits are brought to companies and the society.

The invention relates to a distributed coupled cavity laser system-oriented security measurement method, which comprises the following steps of: modeling a distributed coupled cavity laser system, and constructing an intrusion plane model and a CRR equivalent plane model based on key physical parameters and optical parameters; the intrusion plane model and the CRR equivalent plane model are used as boundary conditions, a diffraction-gain self-consistent equation set of light beam bidirectional propagation in the system is constructed based on key physical parameters and optical parameters, and after gain is introduced, iteration solution is carried out to obtain steady-state light field distribution; based on the steady-state light field distribution, calculating the total illumination of the corresponding intrusion plane and the light power upper limit of a laser beam output by the system under a safe condition; and selecting an appropriate value of the illumination safety threshold for each type of intrusion scene, comparing the appropriate value with the total illumination, and outputting a safety measurement result of the distributed coupled cavity laser system in combination with the upper limit of the optical power. Compared with the prior art, the invention provides a measurement method capable of quickly evaluating the security of the system under different working parameters and intrusion conditions.

The invention belongs to the technical field of information physical system control and network security, and particularly relates to a USV security state estimation method based on privacy protection under composite attack restriction. Firstly, a dynamic identity encryption algorithm is provided, and leakage of a real identity is avoided through transmission of anonymous identity information and a revocable key. Then, in order to more effectively resist spoofing attack and replay attack, an authentication detection mechanism is constructed based on an encryption algorithm, the two kinds of attacks can be effectively identified, the attacked sensor can be positioned at the same time, and comprehensive detection is realized. Secondly, the designed distributed state estimation system is combined with an encryption algorithm and a detection mechanism, only security measurement values are received, potential adverse effects are eliminated, and privacy security and stability of the state estimation system are ensured. Meanwhile, sufficient conditions for realizing performance indexes and ensuring the stability of an error estimation system are given, so that the safety performance of the system is guaranteed.

The invention discloses a feature privacy security measurement method and device and a storage medium, and belongs to the field of information security. In order to solve the problems that an existing method is limited in defense capacity for unknown attacks and depends on specific attack examples, middle layer features are extracted through a pre-training victim model, and the attack success probability is recorded; executing a plurality of inversion attacks and optimizing the model through a defense strategy; constructing a synthetic data set, and training a prediction model to predict an attack success probability; and evaluating the privacy security of the features under different defense strategies by using the trained prediction model. By analyzing the distribution property of the middle layer features, the anti-attack ability of the model in an unknown attack environment can be predicted, the comprehensiveness and generalization ability of privacy protection are improved, and the method is suitable for various models and attack scenes.

The utility model relates to the technical field of concrete safety measurement, and solves the problems that two strain gauges are generally adopted for detection when the strain gauges are used for detection, and the installation positions of the strain gauges are kept consistent, for example, the positions of the two strain gauges are different, so that the detection result is easily influenced, and the accuracy of detection data is reduced. The measuring device comprises a positioning plate, strain gauges are arranged on the two sides of the surface of the positioning plate, a sliding groove is formed in the middle of the surface of the positioning plate, a clamping block is slidably connected into the sliding groove, mounting frames are fixedly mounted on the two sides of the middle of the surface of the positioning plate, and clamping assemblies are arranged on the surfaces of the mounting frames. The clamping assembly comprises a threaded cylinder fixedly mounted in the middle of the surface of the mounting frame, a threaded rod penetrates through the threaded cylinder in a threaded mode, the bottom of the threaded rod is rotationally connected with an extrusion block, and telescopic rods are arranged on the two sides of the top of the extrusion block.

A ranging method is provided. The method includes: A first node determines a first security parameter based on a plurality of input parameters (S1301), obtains a second measurement sequence based on the first security parameter and a first measurement sequence (S1302), and sends a first security measurement signal (S1303); and a second node determines the first security parameter based on the plurality of input parameters (S1304), and obtains the first measurement sequence based on the first security parameter and the first security measurement signal (S1305). In this way, the measurement signal is not easily listened to by an attacker. A ranging apparatus, a communication apparatus, a chip, a communication system, a terminal, a computer-readable storage medium, and a computer program product are further disclosed.

Computer-implemented systems, methods, and computer-readable media predict motor carrier and driver safety scores by combining published and unpublished data associated with one or more FMCSA safety categories. A safety methodology, such as the FMCSA Safety Measurement System (SMS), is applied to generate data scores that are merged to produce a percentile prediction indicating future compliance performance. Some implementations employ a trained machine-learning model to adjust weighting factors and improve prediction accuracy. Simulated or user-defined data may be entered to perform “what-if” analyses and recalculate predicted percentiles. A graphical user interface displays actual and predicted scores, thresholds, and trend indicators, providing users with insight into safety performance tendencies and potential risk conditions.

Compared with an existing measurement method, the method for measuring the security of the language model has the advantages that continuous probability distribution is constructed on the basis of a given harmful text and a pre-trained language model, random confrontation prompts are generated by sampling the continuous probability distribution, the limitation of discrete search is avoided, and the security of the language model is improved. It is ensured that the induction path can be found all the time, namely the worst situation is guaranteed, and the problem that search fails due to optimization of discrete adversarial suffixes in the past is solved; priori distribution is constructed through kernel density estimation based on pre-training word embedding, random confrontation prompt is restrained to be close to legal word embedding distribution, confrontation samples are prevented from deviating from natural language features, and safety measurement under the worst condition is achieved by jointly optimizing sensitivity and safety targets and balancing the sensitivity and safety targets through gradient weighting. The invention also provides a device based on the language model security measurement and a method for realizing the language model security measurement.

The invention discloses a terminal operation method and a terminal, and belongs to the technical field of terminals. The operation method of the terminal comprises the following steps: under the condition that a trusted chip controls a first gating chip to switch a communication channel to a first channel, after reading and loading a boot program in a nonvolatile flash memory chip, performing first security measurement based on a first encryption algorithm built in the trusted chip; under the condition that the first security measurement is passed, the trusted chip controls the first gating chip to switch the communication channel to a second channel; and under the condition that the main control module is controlled to be started, the main control module executes an operation corresponding to the target control scene on the boot program in the nonvolatile flash memory chip based on the target control scene. According to the terminal operation method, the security of each link in each terminal control scene is remarkably improved, the trusted chain is established to realize the terminal trusted control in the whole process, and the terminal operation method is applied to various control scenes and has wide application scenes.

The utility model specifically relates to the technical field of safety measurement, and discloses mining safety measurement equipment, which comprises a shell and a protection assembly, two limiting seats are symmetrically and fixedly arranged at the end part of the shell, a groove is formed in the end part, close to the limiting seats, of the shell, a signal transmitter is inserted into the inner side wall of the groove, and the signal transmitter is connected with the protection assembly. A signal receiver is inserted into the inner side wall, close to the signal emitter, of the groove, a display screen is embedded into the surface, close to the limiting base, of the shell, clamping grooves are formed in the inner side walls of the limiting base, the protection assemblies comprise first cover plates clamped in the clamping grooves, and second cover plates are fixedly arranged at the top ends of the first cover plates. According to the utility model, the shell, the limiting seat and the protection assembly are arranged, the protection assembly comprises the first cover plate clamped in the clamping groove, and the first cover plate and the second cover plate are fixedly connected to form an integrated structure, so that the signal transmitter, the signal receiver and the display screen are protected, dust pollution is avoided, and the measurement precision is improved.

The application discloses a feature privacy security measurement method and device and a storage medium, and belongs to the field of information security. The application is aimed at the problem that the existing method has limited defense capability for unknown attacks and depends on specific attack instances. By pre-training a victim model, intermediate layer features are extracted and attack success probabilities are recorded. Multiple inversion attacks are performed and a defense strategy optimization model is used. A synthetic data set is constructed, a prediction model is trained to predict attack success probabilities, and a trained prediction model is used to evaluate the privacy security of features under different defense strategies. By analyzing the distribution properties of the intermediate layer features, the prediction model can predict the anti-attack capability in an unknown attack environment, improve the comprehensiveness and generalization capability of privacy protection, and be suitable for various models and attack scenarios.

The invention provides a security measurement method, a security architecture system and computer equipment, the security architecture system comprises REE, TEE and SE, a trusted computing service support platform is constructed in subsystems except the REE, and the trusted computing service support platform comprises a TCM, a TPM and a TPCM; the TCM comprises a TCM service module and a TCM password module, and the TPM comprises a TPM service module and a TPM password module; the TCM password module and the TCM service module respectively run in different subsystems except the REE, and / or the TPM password module and the TPM service module respectively run in different subsystems except the REE; the method comprises the following steps: under the condition that an active security measurement function is triggered and a security service request is received at the same time, performing security measurement on a target object by using TPCM to obtain a security measurement result, and in response to the received security service request, providing a security measurement service for the target object by using TCM and / or TPM to obtain a security measurement result. According to the scheme, the security of the processor architecture can be guaranteed.

A TEE-based method to establish trusted and secure channel between the user and public cloud environment, an apparatus, a computer device, and a computer-readable storage medium are provided. After a TEE is started, a trusted measurement mechanism of the TEE is called to perform security measurement on an operation environment and an operation content of a computing node operated in the TEE, and a measurement result is sent to a trusted verification module. Relevant verification information is acquired from a remote verification server of the TEE, and the trusted verification module is controlled to verify the measurement result according to the relevant verification information. When it is confirmed that the operation environment of the computing node is credible and the operation content of the computing node is secure, a communication channel is established between the user and the computing node.

The application discloses a security measurement device and method of a processor, relates to the technical field of electronics, and is used for providing security of the processor during operation. The security measurement device comprises a processor (101) used for operating instructions in a memory (105), an access controller (103) used for controlling a processor tracker (102) to access a first storage area in the memory (105), and the processor (101) cannot access the first storage area; the processor tracker (102) is used for obtaining first address information of a first instruction in the instructions in the memory (105) and storing the first address information in the first storage area; and a security protection system (104) is used for obtaining the first address information from the first storage area and measuring security of the first instruction based on the first address information.

According to the method and the device, an application program and a network communication white list are set, sensor data are monitored on the basis, and abnormal SCADA (supervisory control and data acquisition) and PMU (power management unit) data are analyzed to identify network attack types; carrying out topology design on a plurality of sensors with abnormal SCADA data, and carrying out evaluation and fault risk identification on communication capability; and calling and analyzing the fault recording data and the operation log of the fault protection action of the power system, identifying a network attack type, and starting a corresponding protection scheme according to the identified attack type. Whether the power system network attack occurs or not is analyzed based on the multi-dimensional physical feature information of the power system, the power system network attack is distinguished from the power system fault, the network attack type is judged to perform a corresponding protection scheme, uncertain risks in the power system network can be effectively monitored and identified, and the safety of the power system network is improved. A judgment basis is provided for security measurement of the power system network, and targeted power system network security protection is facilitated.

The invention discloses a wireless power supply hidden backscatter communication method based on information segmentation, and belongs to the technical field of safety communication. The method specifically comprises the steps that the backscattering label carries out information segmentation processing on an original information sequence to obtain first information and second information, the first information is transmitted on a backscattering link, the backscattering label modulates and reflects randomized continuous wave signals to achieve covert communication, and the second information is transmitted through an active uplink. And the backscattering label actively transmits a signal by using the collected energy so as to realize information transmission. According to the method, under a wireless power supply backscatter communication architecture, by combining the concealment of a backscatter stage and an information segmentation mechanism, guess entropy is introduced in an information level as a security measurement index, and by modeling the average number of attempts for reconstructing original information by a listener, the difficulty of acquiring original transmission data by illegal listeners is improved, and the security of the listener is improved. And safe transmission of communication system information is realized.

The application discloses a cryptographic security measurement uncertainty evaluation method, device, equipment and storage medium, relates to the cryptographic security technical field, and discloses a cryptographic security measurement uncertainty evaluation method, which comprises determining the security evaluation item of a to-be-tested cryptographic product; establishing a security measurement model; the output value of the security measurement model is a security quantization value, and the output value of the security measurement model is determined based on the sum of input parameters of the security measurement model; determining the input parameters based on the measurement uncertainty of the cryptographic operation component of the to-be-tested cryptographic product under each security evaluation item; determining the weight of each input parameter of the security measurement model, filling the input parameters into the security measurement model, and obtaining the security quantization value of the to-be-tested cryptographic product as the cryptographic security measurement uncertainty evaluation result of the to-be-tested cryptographic product. The application has the technical effect of improving the comparability of the cryptographic security measurement uncertainty evaluation result.

1. The name of this design product: Multifunctional escalator measuring instrument. 2. Purpose of this design product: used for safety measurement during escalator operation. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1.

The invention provides a satellite field-oriented D2000V-based reinforcement system, which comprises a storage unit, a reconstruction management controller and a D2000V processor, and is characterized in that the storage unit comprises a TMR Flash and a plurality of magnetic random access memories; the reconfiguration management controller is realized based on an FPGA (Field Programmable Gate Array), and realizes read-write control on the storage unit and loading control on the D2000V processor on a software level; pBF firmware, a Boot file, an OS system and an App application program file run on the D2000V processor, a basic computing environment and a safe execution environment are created through the PBF firmware, safety measurement is achieved, and the OS system and the App application program file are loaded. According to the method, optimization design is carried out on a hardware level, and system-level reinforcement of the D2000V processor is realized, so that the reliability and the stability of the system are remarkably improved under the condition that the software design complexity is not increased.

The invention provides a multi-cluster application container security measurement method and system based on karmada, the method is applied to a multi-cluster structure, the multi-cluster structure comprises a control end and a plurality of member clusters connected with the control end, each member cluster comprises a plurality of nodes, and the nodes are connected with the control end. The method comprises the following steps: a node of a member cluster receives a processing task issued to the member cluster by a control end, and a corresponding container mirror image is matched based on the processing task; nodes of the member cluster adopt an access controller, and legality check is carried out based on identity data of a processing task; the nodes of the member cluster adopt a measurement module, based on the application record corresponding to the container mirror image, multiple basic measurement values are calculated based on data in the application record, and a total security measurement value is calculated based on the multiple basic measurement values; and determining whether to block the processing task based on the total security metric value.

The invention provides a PUF (Physical Unclonable Function) security measurement method based on differential analysis and related equipment. The method comprises the steps of 1, generating an original challenge set; 2, performing bit flipping on challenge vectors in the original challenge set to obtain a flipped challenge set; 3, respectively inputting the original challenge set and the overturned challenge set into the target PUF to obtain a corresponding original response set and an overturned response set; and 4, regarding the target PUF as a Boolean function, performing differential analysis on the original response set and the overturned response set, and regarding a differential analysis result as a security evaluation index of the target PUF. According to the invention, the evaluation standard of the safety of the PUF is perfected.

The invention discloses a big data management platform for computer network intelligent analysis, and belongs to the technical field of network supervision, and the platform comprises a data collection module which carries out the intelligent collection and preprocessing of multi-source heterogeneous data, a distributed processing module which carries out the key performance index calculation of the data, and carries out the deep management analysis of historical data. The data storage module establishes a distributed database and performs classified storage on the data, and the intelligent analysis module presets an access control rule and a security measurement rule and performs matching detection and alarm on the data based on the preset rule, so that high expandability, high availability and security can be realized, and the method is suitable for big data network analysis; and the platform safety and the sensitive data safety are ensured.

The invention discloses a virtual machine monitoring system and method, and the system comprises a security measurement assembly which is used for monitoring at least one piece of state information of a currently running virtual machine: an abnormal state of task running, an abnormal state of interruption processing, heartbeat information or business state information; the monitoring control component is used for acquiring the state information reported by the security measurement component, and judging whether the currently running virtual machine needs to be switched according to the state information and a preset exception handling strategy; and the resource allocation component is used for allocating hardware equipment resources to the to-be-started virtual machine when the monitoring control component judges that the virtual machine needs to be switched. According to the technical scheme, the system failure time can be shortened, the available time and reliability of the system are improved, the timeliness and accuracy of switching of the main virtual machine and the standby virtual machine are improved, and the hardware cost of a user can be reduced.

The utility model discloses a device for comprehensive measurement of an elevator landing door, which belongs to the technical field of safety measurement of elevator equipment and comprises a main body device and a movable sliding block, a touch screen is arranged right above the main body device, a T-shaped force sensor and a detachable cylinder are arranged at the front part of the main body device, the detachable cylinder is provided with protruding external threads, and the movable sliding block is connected with the touch screen. The movable sliding block is fixed with the force sensor through threads, the upper half portion of the force sensor is connected with the electric push rod and the linkage rod, two shifting pieces which are bent downwards and perpendicular are arranged in front of the movable sliding block, the shifting pieces and the force sensor form an opposite extending structure, and the movable sliding block is fixed and connected with the main body device through a sliding rail. The parallel movement of the movable sliding block relative to the main body equipment is realized; the elevator landing door data measuring device has the advantages of being integrated in aluminum alloy instrument design, firm, durable, small in size and convenient to carry, and measuring various elevator landing door data through one device through the detachable cylinder and the customized force sensor.

The invention discloses a dark network unified security quantification method based on a hierarchical perspective strategy, and belongs to the technical field of network security. Comprising the following steps: regarding an anonymous communication network as a black box, and emphatically performing unified abstraction on external factors of key attribute evaluation of a heterogeneous dark network to obtain external features of the dark network; the external feature attacker ability, the anonymous user behavior mode and the background operation environment of the dark network are visually quantified by adopting the entropy rate principle; capturing the data packet, and obtaining external features of the heterogeneous dark web; the external features of the heterogeneous dark web are quantized by using a Transform encoder; and finally, aiming at the external features and the internal features of the heterogeneous dark web, making corresponding weights for different features and designing objective functions by neglecting the units and the ranges of the different features, performing linear weighting on all the objective functions, and representing the result of the overall features by using a comprehensive function. According to the invention, comparable security measurement between heterogeneous dark networks in a dynamic network space can be realized.