28 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 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.

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 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.

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.

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 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 password security measurement uncertainty evaluation method and device, equipment and a storage medium, and relates to the technical field of password security, and the disclosed password security measurement uncertainty evaluation method comprises the following steps: determining a security evaluation item of a to-be-tested password product; establishing a safety measurement model; the output value of the safety measurement model is a safety quantized value, and the output value of the safety measurement model is determined based on the sum of input parameters of the safety measurement model; determining an input parameter based on the measurement uncertainty of the password operation unit of the password product to be tested under each safety 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 quantized value of the to-be-measured password product as the password security measurement uncertainty evaluation result of the to-be-measured password product, and the method has the technical effect of improving the comparability of the password security measurement uncertainty evaluation result.

Devices, systems, methods, and processes for enhancement of security measurement in Open Roaming network are described herein. Typically, in Open Roaming networks access nodes do not have the information whether a user device is a trusted device and accesses the network based on authentication by an Identity Provider (IdP). To address these issues, access nodes may be configured to generate a trust score for the user device based on their monitored activities on the network. The access node may share the trust score with the IdP. The IdP may receive one or more trust scores for the user device and generates a global trust score for the user device. The IdP further shares the global trust score with Identity Federation. During a re-association attempt, a new access node may grant or deny the network access to the user device based on the received global trust score of the user device.

The present technology is directed to training and using a machine learning model to predict a likelihood of a counterfactual safety critical event in autonomous vehicle (AV) driving in a projected scenario occurring after a human takes over control of an AV. An AV management system can identify driving data collected from periods around an occurrence of a human take over event where a human takes over control of an AV. The AV management system can project a scenario that would have resulted if the human did not take over control of the AV based on the driving data and output a counterfactual safety score for the projected scenario. The counterfactual safety score can indicate a probability of a counterfactual collision between the AV and the at least one object in the projected scenario.

The utility model discloses an intelligent power utilization safety device, which comprises a control module and metering modules in one-to-one correspondence with tested power utilization lines, the metering module comprises a temperature acquisition unit, a current acquisition unit, an electric leakage acquisition unit, a voltage acquisition unit and a metering chip, the temperature acquisition unit, the current acquisition unit and the electric leakage acquisition unit are respectively connected with a measured power utilization circuit, and the voltage acquisition unit is connected with the power utilization input end; all the metering modules share the same voltage acquisition unit; the metering chip is respectively connected with the temperature acquisition unit, the current acquisition unit, the electric leakage acquisition unit and the voltage acquisition unit; and the control module is connected with the metering chip. The intelligent power utilization safety device can monitor the temperature, voltage, current and residual current of a plurality of to-be-detected power utilization lines at the same time, and is suitable for the working condition of a plurality of accessed power utilization devices at present.

The application provides a kind of measurement and safety monitoring system and method based on laser range finder, and the safety measurement device based on laser range finder can be controlled by mobile terminal, can slide freely along a certain direction within horizontal range under the bottom beam of overall lifting steel platform, and by the characteristics of laser emission with adjustable frequency, the distance to the object is calculated continuously, and then transmitted to mobile terminal by signal transmission module for analysis, and with the lifting of overall steel platform, the safety measurement device based on laser range finder can also be measured in vertical direction, so as to obtain three-dimensional space in construction structure. The application has simple structure and is easy to produce and manufacture, fully utilizes the advantages of laser range finder and overall lifting steel platform, and can be reused in different projects. Information can be obtained flexibly and in real time, and related problems can be handled.

The invention provides a crawler algorithm configuration validity evaluation method and system oriented to network security measurement, and belongs to the technical field of network security measurement. Defining adjustable configuration and network security measurement indexes of a crawler algorithm; collecting and inputting a representative to-be-measured website set; generating a to-be-evaluated algorithm configuration scheme; performing two-stage page crawling on all the configuration schemes, wherein the two-stage page crawling comprises reference page crawling aiming at a search strategy and network measurement index data crawling aiming at configuration parameters; establishing a multi-dimensional evaluation model for network measurement index data, wherein the multi-dimensional evaluation model comprises index quantitative effectiveness analysis, index data similarity analysis and index parameter sensitivity analysis; and in combination with a multi-dimensional security measurement index, generating an optimal series of crawler configuration parameters. The core defects of poor technical scene adaptability and single measurement index dimension in existing crawler algorithm configuration evaluation are solved, and high-precision matching of algorithm parameter configuration and network security measurement requirements is realized.

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 the first measurement sequence (S1302), and transmits a first security measurement signal (S1303); 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 cannot be easily listened to by an attacker. A ranging device, a communication device, a chip, a communication system, a terminal, a computer-readable storage medium, and a computer program product are further disclosed.

A measurement system comprising a sensor and a controller configured to communicate with the sensor, the controller comprising a display. The sensor comprises at least two measurement assemblies and at least one processing circuit connected to one or more sensing elements each measuring a current value of the same parameter. Each processing circuit emits to the controller a measurement signal as a function of the current value measured by the one or more sensing elements and of a stored reference value. The controller is configured: i) to transmit the reference value to each processing circuit that stores it if the reference value is equal to within a margin of the measured current value, and ii) to receive the measurement signals and display respective symbols on the display, the symbols being at least dissimilar or displayed alternately.

The invention provides a carrying tool motion safety measurement and reliability description method. The method comprises the following steps: determining a reference model and a possible mode of a carrying tool according to an event, and establishing an identification framework; according to the actual moving trajectory of the carrying tool and the reference trajectory of the modality, basic probability distribution of the trajectory of the carrying tool relative to the possible modality is calculated; calculating the instantaneous transient reliability of the dynamic process of the carrying tool relative to each mode; calculating the accumulated process reliability of the dynamic process of the carrying tool relative to each mode; calculating the safety degree of the carrying tool when different modes are combined; and calculating the confidence degree of the safety measurement in the movement process of the carrying tool. According to the invention, the interval number [0, 1] is used to quantitatively describe the motion safety degree and reliability between two carrying tools. According to the method, a quantitative description basis is provided for safety monitoring and scheduling control decision making of the movement of the carrying tool, and a quantitative decision making method based on dynamic process reasoning is provided when cognition is unknown.

The embodiment of the invention relates to the technical field of communication security, and provides a communication control method and system based on a Modbus protocol, and the method comprises the steps: receiving a Modbus target photon sequence sent by a main control equipment end, and enabling the Modbus target photon sequence to be generated through the modulation of a binary sequence and a random sequence corresponding to target information to be sent; randomly generating a measurement base photon sequence for selecting a measurement base; performing safety measurement on the Modbus target photon sequence based on the measurement-based photon sequence; and performing communication control with the main control equipment end through a Modbus protocol based on the safety measurement result. Therefore, security protection is carried out on Modbus protocol communication based on the quantum algorithm, so that the Modbus protocol communication can be safely transmitted in a traditional channel and a quantum channel, malicious attacks of attackers can be resisted, whether monitoring exists in the channel or not is found, communication is terminated in time, and message leakage is prevented.

Devices, systems, methods, and processes for enhancement of security measurement in Open Roaming network are described herein. Typically, in Open Roaming networks access nodes do not have the information whether a user device is a trusted device and accesses the network based on authentication by an Identity Provider (IdP). To address these issues, access nodes may be configured to generate a trust score for the user device based on their monitored activities on the network. The access node may share the trust score with the IdP. The IdP may receive one or more trust scores for the user device and generates a global trust score for the user device. The IdP further shares the global trust score with Identity Federation. During a re-association attempt, a new access node may grant or deny the network access to the user device based on the received global trust score of the user device.

A ranging method, the method comprising: a first node determining a first security parameter according to a plurality of input parameters (S1301), obtaining a second measurement sequence according to the first security parameter and a first measurement sequence (S1302), and transmitting a first security measurement signal (S1303); the second node determines a first security parameter according to the plurality of input parameters (S1304), and obtains a first measurement sequence through the first security parameter and the first security measurement signal (S1305). Therefore, a measurement signal is not easy to be intercepted by an attacker. The invention further discloses a distance measuring device, a communication device, a chip, a communication system, a terminal, a computer readable storage medium and a computer program product.

A method includes performing attestation of an electronic device. Performing the attestation includes retrieving preset security measurements stored in secure storage of a secure embedded controller of the electronic device. Performing the attestation also includes retrieving current firmware component measurements from platform configuration registers (PCRs) of a trusted platform module (TPM) of the electronic device. Performing the attestation includes comparing the preset security measurements with the current firmware component measurements. Performing the attestation includes approving or denying the attestation based on the comparison of the preset security measurements with the current firmware component measurements.

The invention discloses an underground diaphragm wall underwater concrete elevation real-time monitoring system and a use method thereof. The system comprises a monitoring device, a data analysis module and a data monitoring and early warning module, the monitoring device adopts one or more single devices; the data analysis comprises an elevation calculation formula, a depth calculation formula and a height difference calculation formula; the data monitoring and early warning comprises underwater concrete elevation real-time monitoring and intelligent early warning; and finally, the real-time monitoring system for the underwater concrete elevation of the underground diaphragm wall is formed. Compared with traditional manual measurement, the device can monitor the elevation change in the whole construction process of the underground diaphragm wall and transmit data to a monitoring system, and a curve graph is obtained through automatic analysis; intelligent early warning can be carried out; according to the technology, construction safety measurement data are more accurate, and standardization can be achieved; turnover is easy, and no pollution is caused.

The present application is directed to the vulnerability of B5G industrial internet system and the attack threat problem, based on the current existing network security measurement system, which is more suitable for traditional internet, ignoring the current situation of B5G industrial internet and its differences, a system design for realizing B5G industrial internet network security measurement is provided, and the technical scheme is: firstly, based on the risk analysis of industrial network environment to the information system, to build attack / threat sample library, at the same time, combined with point estimation, confidence interval estimation, B5G industrial internet network security event hit rate, security degree, system security health coefficient calculation formula, build multi-dimensional security measurement comprehensive coordinate analysis system. The present application provides a multi-dimensional B5G industrial internet security measurement system, which can assist in improving the security of B5G industrial internet, and provides protection for efficient and safe production.

This invention belongs to the field of safety measurement technology and discloses a laser detection method and system for gas leaks in sealed environments. The method includes: collecting operational data, environmental data, and monitoring data; using the operational data, environmental data, and a pre-set digital geographic grid of the monitoring area as input to a pre-trained gas migration model to obtain a dynamic background concentration field distribution map of the entire monitoring area; combining the spatial coordinates of each detection node to obtain the local background prediction value of each detection node; performing inversion analysis on the monitoring data to obtain the original gas volume fraction measurement value of each detection node, then subtracting the corresponding local background prediction value to obtain the compensated gas concentration residual value and analyzing it to obtain anomaly node clusters; and analyzing the anomaly node clusters with potential leak sources to obtain the location of the leak source. This invention enables the system to separate the weak residual signal characterizing the actual leak with high confidence from data submerged by strong background noise.