19results about How to "Improve security protection efficiency" patented technology

The invention discloses a security protection method for convergence and distribution equipment based on data intelligence, relates to the technical field of security protection of the convergence and distribution equipment, and solves the technical problem that in the prior art, multi-service execution security analysis cannot be carried out on the convergence and distribution equipment, so that the traffic control security is reduced, in particular to service security analysis. Safety analysis is performed on equipment operation services in the operation process of the convergence and distribution equipment, monitoring control is performed on the operation services of the convergence and distribution equipment, and safety analysis is performed on service execution according to service requirements, so that potential safety hazards existing in service execution are avoided, and the operation safety of the convergence and distribution equipment is reduced; and the security reduction of other security execution services is also influenced.

The invention relates to the technical field of network security, in particular to a network security protection system based on artificial intelligence, which comprises an information acquisition module used for acquiring network transmission data, network data, equipment operation data and environment data in a monitoring period, and a data storage module used for storing the network transmission data in the monitoring period. The system comprises a data classification module used for classifying network transmission data, a network analysis module used for analyzing network volatility, an equipment analysis module used for analyzing the data transmission state of equipment, an adjustment optimization module used for adjusting the analysis result of the data transmission state of the equipment, and a risk assessment module used for assessing the risk of the equipment. The risk assessment module is used for assessing the risk state of data transmission between the devices in the monitoring period, and the safety management module is used for generating a network transmission scheme of the devices in the next monitoring period. According to the invention, the security of data transmission and the efficiency of network security protection are effectively improved.

The invention relates to the technical field of traffic safety protection, and discloses a tunnel portal flexible blocking system which comprises a water curtain generation system which is arranged on a portal frame of a tunnel portal, is composed of an efficient spray head, a water storage tank, a liquid level sensor and a controller and is used for rapidly forming a flexible water curtain barrier to slow down the vehicle speed and providing visual warning. The water source is taken from a tunnel leakage water discharge system and ensures the water quality through a filtering device; the flexible barrier gate system is installed near a tunnel entrance and is of a structure that an aluminum alloy core column wraps a foam material. A flexible water curtain barrier can be rapidly formed in emergency through the water curtain generation system, and the effects of blocking vehicles and preventing further accident expansion are achieved. The automatic design enables the water curtain barrier to be formed within second-level time, the water curtain barrier can be closed at a low speed in emergency, vehicles are flexibly intercepted, and damage to the vehicles and system equipment is reduced.

The invention relates to a distribution network engineering construction safety protection device and an intelligent monitoring system thereof, the distribution network engineering construction safety protection device is composed of an intelligent sensing device, an intelligent monitoring system and a visual monitoring platform, the intelligent sensing device is responsible for accurately collecting data of a distribution network construction site in real time; and the intelligent monitoring system performs data preprocessing and data compression on the collected data of the intelligent sensing device, performs PCA (Principal Component Analysis) on the data to form a parameter feature data set, performs data analysis by applying an attention mechanism added in an improved LSTM (Long Short Term Memory) algorithm, and performs identification, fault positioning and fault removal and recovery on the feature data set. Accurate prediction and intelligent decision making are realized through an artificial intelligence algorithm, and the safety protection efficiency is remarkably improved. Various complex environments are flexibly handled through the positioning module, the maintenance cost is reduced, and the life cycle of the intelligent monitoring system is prolonged.

The invention belongs to the field of network security, relates to a data analysis technology, is used for solving the problem that a most appropriate configuration toolkit cannot be configured for a communication network in the prior art, and particularly relates to a network security intelligent operation method based on artificial intelligence. Comprising the following steps: carrying out operation volume analysis on a network: marking the network which needs network security operation tool configuration analysis as an analysis object, and marking the network which completes the network security operation tool configuration analysis and of which the operation duration exceeds L1 months as an evaluation object; obtaining a volume coefficient of the evaluation object; according to the invention, the configuration mode of the analysis object can be marked according to the service type of the analysis object and the service type of the matching object corresponding to the feature tool, and the network security operation tool configuration analysis of the analysis object is carried out by adopting the corresponding configuration mode according to the coverage degree of the service type in the feature tool. And the network security protection efficiency of the analysis object is further improved.

The invention discloses a gas engineering safety construction management system and method based on multidirectional monitoring, and relates to the technical field of gas engineering safety construction supervision, and the safety construction management method comprises the following steps: determining a construction project, and after determining a construction region, determining a construction plan and performing construction; safety monitoring is conducted on the construction environment, so that it is guaranteed that no potential safety hazards exist in the positions of all departments in the construction area, the position safety of the construction departments is guaranteed, the safety protection efficiency of human risks outside the construction area is improved, and after safety protection of the construction departments is in place, the progress execution stability of the gas project can be guaranteed; and according to real-time pipeline conveying safety detection, it is deduced that the construction safety meets the actual requirement in the current pipeline material preparation process, so that it is guaranteed that the pipeline conveying efficiency is stable, and the implementation progress of a gas project is not affected.

This application discloses a security protection method and related products. The method includes: identifying abnormal behavior in the data to be processed corresponding to a target vehicle based on a preset security rule base and a pre-trained anomaly recognition model to obtain a security recognition result; if the security recognition result indicates a first anomaly level, then performing local security protection on the target vehicle according to a local protection strategy; if the security recognition result indicates a second anomaly level, then obtaining the collaborative protection strategy sent by the cloud platform corresponding to the target vehicle, and performing collaborative security protection with other vehicles according to the collaborative protection strategy. This improves the security of the entire vehicle-to-everything (V2X) environment.

The present invention belongs to the field of network security and relates to data analysis technology. It is used to solve the problem that the existing technology cannot configure the most suitable configuration toolkit for the communication network. Specifically, it is a network security intelligent operation method based on artificial intelligence, which includes the following steps: performing operation volume analysis on the network: marking the network that needs network security operation tool configuration analysis as the analysis object, marking the network that has completed the network security operation tool configuration analysis and has an operation time of more than L1 months as the evaluation object; obtaining the volume coefficient of the evaluation object; the present invention can mark the configuration mode of the analysis object according to the service type of the analysis object and the service type of the corresponding matching object of the feature tool, and adopt the corresponding configuration mode according to the coverage of the service type in the feature tool to perform the network security operation tool configuration analysis of the analysis object, so as to further improve the network security protection efficiency of the analysis object.

The invention relates to an intention-driven edge cloud and center cloud-based collaborative security defense method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: when an edge cloud identifies a security attack, generating an edge cloud security defense intention through an intention driving network of the edge cloud; when the edge cloud resource environment condition meets the operation environment condition of the security defense operation and the security resource provided by the edge cloud meets the security resource requirement of the security defense operation, generating an edge cloud security defense service matched with the edge cloud security defense intention through the edge cloud; and when the edge cloud resource environment condition does not meet the operation environment condition of the security defense operation or the security resource provided by the edge cloud does not meet the security resource requirement of the security defense operation, generating a central cloud security defense intention through an intention driving network of the central cloud, and generating a corresponding central cloud security defense service. By adopting the method, the security protection efficiency of the cloud edge collaborative scene can be improved.

This invention relates to the field of automated copper billet casting technology, and particularly to a method and system for controlling the drawing of copper billets based on temperature monitoring. The method includes: real-time acquisition of temperature data sequences from heat exchange monitoring points in each cooling mold; elimination of measurement drift caused by high-temperature moisture environment based on dynamic baseline calibration; generation of a primary abnormal signal for any cooling mold when the temperature at a single point exceeds a preset safety threshold and the duration reaches a first critical time threshold; statistical analysis of the production number and quantity of the abnormal cooling molds based on the distribution of the primary abnormal signals during the drawing process; generation of a secondary linkage control signal based on the production number if the number of primary abnormal signals in a single cooling mold is multiple or exceeds a preset proportion; and sending an emergency stop control signal to the traction machine in response to the secondary linkage control signal. This invention effectively solves the risk of copper billet quality defects and equipment damage caused by temperature runaway.

The utility model belongs to the technical field of network security protection, and particularly relates to an automatic network disconnection device for computer network security protection, which comprises a software mainboard, a bastion host linkage network disconnection module electrically installed at the top of the software mainboard, an anti-DDoS system module electrically installed on one side of the bastion host linkage network disconnection module, and an anti-DDoS system module electrically installed on the other side of the software mainboard. The bottom of the software mainboard is fixedly provided with a hardware mainboard, the top of the hardware mainboard is electrically provided with a PCI slot, a bastion host is linked with a network disconnection module to terminate a session and isolate a server during abnormal login, and then an anti-DDoS system module is utilized to enable the quantity to exceed a threshold value to automatically switch and clean nodes. According to the method, the server can be isolated when the computer network logs in abnormally, so that the security protection efficiency of the computer network is improved, then the RJ-45 interface is controlled to be switched on and off through the PCI slot, then physical isolation of the internal network and the external network is achieved through the partition card, the computer network can be quickly and physically blocked, and thus the security of computer network protection is improved.

This application relates to a data encryption method, a risky data processing method, an apparatus, a computer device, and a storage medium. The method includes: acquiring application source code data; compiling the application source code data to obtain first application compiled data; replacing the signature encryption public key in the first application compiled data with a simulated public key to obtain second application compiled data. If a data encryption request is received, the method acquires the data to be processed corresponding to the data encryption request, restores the second application compiled data to the first application compiled data, and performs encryption and signature processing on the data to be processed based on the signature encryption public key in the first application compiled data to obtain encrypted signature data. This method can reduce the risk of leakage of the signature encryption public key, as well as information leakage and resource loss to the platform and users, and improve the efficiency of information security protection.

The present invention relates to the field of network security technology, and in particular to a network security protection system based on artificial intelligence, comprising: an information acquisition module for acquiring network transmission data, network data, equipment operation data and environmental data within a monitoring period, a data storage module for storing network transmission data within a monitoring period, a data classification module for classifying network transmission data, a network analysis module for analyzing network volatility, an equipment analysis module for analyzing the data transmission status of an equipment, an adjustment and optimization module for adjusting the analysis result of the data transmission status of an equipment, a risk assessment module for assessing the risk status of data transmission between equipment within a monitoring period, and a security management module for generating a network transmission plan for equipment in the next monitoring period. The present invention effectively improves the security of data transmission and the efficiency of network security protection.

The invention discloses a network attack monitoring system based on an open source tool; the system comprises network communication, the network communication is used to realize the transmission of flow data information to a computer, the computer comprises a firewall, the data information received by the computer enters a flow acquisition module after passing through the firewall, the flow acquisition module is electrically connected with a disassembler, the disassembler is provided with a convolution dimension reduction, the convolution dimension reduction is connected with an open source detection tool, and the open source detection tool is connected with a protection model; the flow acquisition module of the invention performs deduplication operation, normalization operation, compression and decoding processing, so as to facilitate the subsequent calculation processing of the data information, obtain the programming language of the data information through the disassembler, reduce the processing difficulty through the convolution dimension reduction, facilitate the open source detection tool to analyze and process the data information, and the protection model improves the safety protection efficiency of the computer.

The present invention discloses an intelligent beach safety protection method and system based on machine vision, wherein the method comprises: controlling a camera to collect pictures of a beach at a preset time interval to obtain beach pictures; inputting the obtained beach pictures into a tidal analysis model to obtain the tidal conditions of the beach; dividing the beach into risk areas and non-risk areas according to the tidal conditions of the beach and the current beach pictures; allocating the monitoring resources of the camera to the risk areas and non-risk areas according to a preset ratio; the monitoring resources obtained in the risk areas are greater than the monitoring resources obtained in the non-risk areas; after the monitoring resources are allocated, identifying tourists on the beach pictures collected by the camera to obtain tourist behaviors; inputting the tourist behaviors into a risk behavior identification model to determine whether the tourist behaviors belong to risk behaviors; and issuing an alarm prompt in response to the tourist behaviors belonging to risk behaviors. The present invention improves the accuracy of risk behavior identification and the efficiency of safety protection, and ensures the life safety of tourists.

The invention provides a network security protection method, electronic equipment, a storage medium and a program product, and relates to the field of computer network security, and the method comprises the steps: judging whether a received request message is a DNS message or not; if the received request message is a non-DNS message, judging whether the domain name of the non-DNS message hits a secure domain name database; if the received request message is a DNS message, judging whether the domain name of the DNS message hits a domain name blacklist or not; and determining whether to release the request message according to whether the safe domain name database or the domain name blacklist is hit. By identifying DNS messages and non-DNS messages and taking corresponding security measures, diversified network threats based on domain names are comprehensively defended.

The invention relates to the technical field of power electronics, in particular to a safety inverter with double protection mechanisms, which comprises an inverter body and a heat dissipation device, the heat dissipation device comprises a shell and a cooling pipe arranged in the shell, a gas tank used for filling fire extinguishing gas is arranged on the outer side of the shell, and the outer side of the gas tank is provided with a gas outlet. The air tank is communicated with an air pipe which penetrates through the inverter body and extends into the air tank, an opening and closing assembly is arranged at the joint where the air pipe is communicated with the air tank, a linkage assembly used for automatically opening the opening and closing assembly under the condition of spontaneous combustion in the inverter body is arranged between the cooling pipe and the air tank in a matched mode, and a smoke sensor is arranged on the inverter body. Heat generated in the inverter body is effectively absorbed and dissipated through the cooling liquid circularly flowing in the cooling pipe, and when spontaneous combustion occurs in the inverter, the opening and closing assembly is rapidly opened by using the cooling liquid as a power source, so that inert gas in the gas tank is rapidly sprayed into the inverter, and the combustion reaction is effectively inhibited.

The utility model discloses a protective device for a photovoltaic inverter, which comprises a protective shell and a plurality of protective plates, and the plurality of protective plates are respectively clamped and mounted on two sides, the rear end and the top of the protective shell and are used for safety protection of a photovoltaic inverter body in the protective shell. The front end of the protection plate is provided with a plurality of fin plates, and the plurality of fin plates are arranged in parallel and at intervals, and are used for increasing the contact area between the protection plate and hot air emitted by a photovoltaic inverter body installed in the protection housing. A plurality of fin plates are arranged on the inner side of each protection plate, so that the contact area between the protection plates and hot air emitted by a photovoltaic inverter body installed in the protection shell is increased through the plurality of fin plates, and water cooling liquid output by a water cooling mechanism fully dissipates heat of high temperature generated by operation of the photovoltaic inverter body. And the operation efficiency of the photovoltaic inverter is improved.

According to the artificial intelligence-based data information security protection method and system provided by the invention, the historical information security protection coefficient corresponding to the to-be-processed target business data item is obtained, so that the association degree between the historical information security protection coefficient and the target business data item is relatively high; according to the historical information security protection coefficient, the information security protection coefficient of real-time collection information security protection is debugged, so that the time consumption of the information security protection coefficient debugging process can be reduced, the information security protection efficiency is improved, the association degree between the debugged information security protection coefficient and the target business data item can be improved, and the information security protection efficiency is improved. Therefore, the real-time acquisition information security protection after information security protection coefficient debugging can accurately acquire the information security description data of the target business data item, so that information security protection is carried out on the target business data item according to the information security description data acquired by the real-time acquisition information security protection. Therefore, the information security protection success rate is improved.