59 results about "Defence system" patented technology

The invention provides an attack technology and tactical identification method oriented to honey array linkage. The method comprises the following steps: coding according to malicious sample data and associated TTP labels, and constructing a training data set; constructing an interpretable discrimination model for binary classification modeling to obtain a behavior triggering weight vector and an offset item of the malicious sample; extracting dominant trigger rules to construct a mapping inference rule base; obtaining alarm data, extracting a behavior clue based on a preset standard behavior dimension set, converting the behavior clue to obtain a trigger identifier, and mapping the alarm data into an alarm behavior vector; constructing a prediction TTP label set of the alarm behavior vector and recording a trigger path; and encapsulating the behavior semantic data, constructing an execution strategy response rule set, performing mapping in the execution strategy response rule set according to the behavior semantic data to obtain an execution strategy, and adjusting honey array deployment according to the execution strategy. By applying the method, accurate identification and transparent reasoning of the potential TTP in the attack activity can be constructed and realized, and linkage scheduling of a defense system is supported.

The invention relates to a dynamic defense system and method for durability degradation of a reinforced concrete structure. The system comprises a composite fabric network pre-buried in the reinforced concrete structure, a sensing unit for monitoring the health state of the structure and a response control unit, the composite fabric network comprises conductive row fiber bundles and conductive column fiber bundles which are intercrossed and woven into a two-dimensional matrix skeleton and can be addressed independently; arranging a plurality of repairing microcapsules which adopt a specific sensitive polymer wall material to package a chemical repairing agent at cross nodes, and additionally arranging function execution assemblies at corresponding nodes according to requirements; and the response control unit applies an excitation signal exceeding a preset threshold value to the target node, and generates or triggers the function execution component to form a corresponding external excitation energy field to act on the sensitive polymer wall material of the repairing microcapsule, so that the sensitive polymer wall material is broken or subjected to phase change to release the chemical repairing agent. According to the method, the threat position, the threat type and the threat level can be accurately positioned, and the repair range and strength are dynamically adjusted.

The invention discloses a transformer active defense system testing device and method based on high-speed partial discharge data playback, and the device comprises a high-speed partial discharge data storage unit which stores the original data of partial discharge; the high-speed network interface unit transmits the partial discharge data in the selected network message format; the FPGA data processing and playback unit analyzes the network message, extracts an original partial discharge data point, and converts the original partial discharge data point into a high-speed digital signal according to precise time sequence control; the high-speed digital-to-analog converter converts the high-speed digital signal into an analog signal; the signal conditioning and interface unit is used for conditioning the analog signal into an analog partial discharge signal meeting the input requirement of a partial discharge acquisition unit of the active defense system to be tested; and the control and configuration unit monitors and records the playback process state and the protection action response of the active defense system to be tested. According to the invention, various performance indexes of the active defense system can be verified safely, efficiently and truly.

The invention discloses a network security monitoring and defending system, which comprises a multi-source data acquisition module, an intelligent threat analysis module, a dynamic defending execution module, a central control module and a threat intelligence updating module, and the modules are in bidirectional interaction through encrypted communication links. The central control module realizes multi-source data fusion through a dynamic weighting algorithm, coordinates time sequence scheduling of each module, automatically triggers load balance when the module load exceeds 80%, and ensures stable operation of the system under peak flow; an encrypted communication link guarantees data transmission security between modules, defense instructions are prevented from being tampered, and the overall operation stability of the system is improved by 70% compared with a traditional system.

The application provides a method for identifying attack technology and tactics facing the linkage of honeycomb, comprising: encoding and constructing a training data set according to malicious sample data and associated TTP labels; constructing an interpretable discriminant model for binary classification modeling to obtain the behavior trigger weight vector and bias term of the malicious sample; extracting explicit trigger rules to construct a mapping inference rule library; obtaining alarm data, extracting behavior clues based on a preset standard behavior dimension set and converting to obtain a trigger identifier, mapping the alarm data into an alarm behavior vector; constructing a prediction TTP label set of the alarm behavior vector and recording the trigger path; packaging behavior semantic data, constructing an execution strategy response rule set, mapping the behavior semantic data in the execution strategy response rule set to obtain an execution strategy, and adjusting the deployment of the honeycomb according to the execution strategy. The method can construct and realize the accurate identification and transparent inference of the potential TTP in the attack activity, and support the linkage scheduling of the defense system.

The application discloses a kind of dynamic security defense method and system based on thermal migration and deep learning, by preliminary discrimination of traffic using intrusion detection system, again using the malicious traffic detection module based on deep learning review and determine as malicious traffic, SDN controller forwards traffic to low interaction honeypot, when attack depth reaches critical point, the copy of normal host of timed snapshot is activated as high interaction honeypot by honeypot management system, then using redirection forwarding engine TCP_REPAIR agent switches connection to high interaction honeypot.The application relates to the field of network defense technology, uses the malicious traffic detection technology based on deep learning, accurately shunts encrypted or non-encrypted normal and malicious traffic, makes up the defect that traditional defense system can only detect non-encrypted traffic, simultaneously using TCP thermal migration technology, optimizes the shortcomings of long time consumption and non-concealed switching in traditional TCP connection switching process, effectively improves the dynamic defense capability of system and utilization rate and decoy capability of honeypot cluster.

The application discloses a plough head mold GXU-F34 for promoting linaloe, and the plough head mold GXU-F34 is obtained by purifying and separating samples cut from old trees and can be used for promoting linaloe. The plough head mold GXU-F34 is a plant endophyte, can continuously produce some enzymes to stimulate the defense system of Aquilaria plants, and a series of enzymes produced by saprophytic fungi microorganisms play an important role in the defense mechanism of Aquilaria plants, and finally lead to the production of linaloe.

This invention discloses a low-altitude unmanned aerial vehicle (UAV) all-domain monitoring and targeted jamming defense system. This invention relates to the field of UAV defense technology and includes an airship platform, a detection module, a jamming module, a decoy module, a control module, a power module, and a ground command center. The airship platform is a tethered balloon, and its pod integrates the core working units of the detection module, jamming module, decoy module, control module, and power module. The power module receives AC power from the ground via a tethered cable. This low-altitude UAV all-domain monitoring and targeted jamming defense system overcomes the inherent limitations of traditional ground-deployed defenses, effectively avoids communication blind spots caused by terrain and features, and upgrades from single-area protection to wide-range coverage. It can capture UAV signals at greater distances, allowing sufficient time for countermeasures, accurately distinguishing between compliant UAVs and illegal intrusion targets, avoiding misjudgments and accidental damage, and ensuring the normal operation of legitimate operations.

The invention discloses Escherichia coli for fermentation production of riboflavin anti-bacteriophage, and belongs to the technical field of microorganisms. Receptor genes of bacteriophages are excavated through co-evolution of bacteriophages T1, T7, vBEcoMP251 and vBEcoMP255 and escherichia coli strains, the resistance of escherichia coli to the bacteriophages is enhanced by knocking out screened bacteriophage receptors on the genome level, and meanwhile, defense systems Gabija and KELM with the ability of resisting bacteriophages JNUWH1 and JNUWD and defense systems Shedu and Septu with the ability of resisting bacteriophages T4 are obtained through screening. Gene is integrated to a genome to strengthen the resistance of escherichia coli to bacteriophage, construction of the anti-bacteriophage chassis cell is completed, meanwhile, genes lacI, pfkA, edd and eda are knocked out, the anti-bacteriophage escherichia coli chassis cell for fermentation production of riboflavin is obtained, and a certain application prospect is achieved.

The application discloses a kind of high specificity tumor imaging fluorescent probe, preparation method and application thereof, belong to fluorescent probe technical field, the structural formula of the fluorescent probe is as shown in formula III, formula IV: compared with the specificity fluorescent probe that currently exists, high specificity tumor imaging fluorescent probe III and IV will tumor growth attack system and tumor defense system combination, without introducing bulky targeting group in molecule, also do not need to obtain specific site by a large number of screening, with better performance-price ratio.Compared with the fluorescent probe I and II without being improved, high specificity tumor imaging fluorescent probe can effectively realize the distinction of normal cells and tumor cells at cell level.

This invention discloses a DNS attack detection and defense system based on adversarial networks, belonging to the DNS field. It consists of a data acquisition and feature engineering module, an adversarial sample generation module, a multimodal detection engine module, and a dynamic defense and feedback system. First, the data acquisition and feature engineering module captures and parses DNS traffic in real time, extracting multi-dimensional behavioral features to generate structured feature data, which is then divided into normal samples and attack samples. This data is input into the adversarial sample generation module, which uses a Wasserstein distance-optimized generative adversarial network to create highly deceptive adversarial attack samples. Next, the normal samples and adversarial attack samples are mixed and input into the multimodal detection engine module for fusion analysis, outputting attack probabilities and classification results. Finally, the classification results are transmitted to the dynamic defense and feedback system, which automatically executes various response strategies and simultaneously feeds feedback into the database update system, forming a closed-loop adaptive defense mechanism. This invention improves the accuracy and efficiency of DNS attack detection.

The invention relates to an loT (Internet of Things) based, mobile controlled and instantly interactive smart security and defense system.

The invention discloses a self-adaptive network attack prediction and defense system and method based on artificial intelligence. The system comprises a data acquisition module, a feature extraction module, a self-adaptive learning engine module, a real-time attack detection module, a dynamic defense deployment module and a feedback optimization mechanism module. According to the method, the network flow and the user behavior data are collected in real time, accurate feature extraction is based on attention mechanism driving, attack time sequence correlation features are deeply mined, and the pertinence of attack identification is remarkably improved; meanwhile, by combining adaptive learning and real-time detection capability, an attack prediction model is dynamically optimized, the attack type and severity are accurately identified, and through dynamic defense and feedback optimization closed loop, defense measures are deployed as required and parameters are iterated in real time, and attack evolution is efficiently responded. And the overall security and defense efficiency of a complex network attack scene are comprehensively enhanced.

This invention discloses a compound seed treatment agent containing metalaxyl-M and tebuconazole, its preparation method, and its uses, belonging to the technical field of seed treatment agents. The suspension of this invention uses metalaxyl-M, tebuconazole, and sodium selenite as the main components, supplemented with emulsifying and dispersing agents, wetting and dispersing agents, antifreeze agents, suspending agents, film-forming agents, and warning colors, and is prepared by adding deionized water to a sufficient volume. Metalaxyl-M targets and inhibits ribosomal RNA polymerase I of oomycete pathogens, while tebuconazole targets and inhibits sterol 14α-demethylase. The two have complementary fungicidal spectra, synergistically controlling maize stalk rot and maize head smut. Sodium selenite, by inhibiting the oxidative stress defense system of pathogenic fungi involving glutathione and thioredoxin, promotes the effects of the two main components and simultaneously remediates selenium-deficient soils. This invention is suitable for the green and efficient control of maize stalk rot and head smut, and also has the function of ecological restoration of selenium-deficient soils.

A comprehensive non-lethal defense system using a 5-pound CO2 fire extinguisher and detailed training protocols is provided. The defense system includes a standard fire extinguisher that is repurposed for threat mitigation. The defense system also includes a frost-free horn that Prevents frostbite on the hands of the user during operation the standard fire extinguisher. The defense system also includes a trigger mechanism with a safety lock that allows for controlled bursts and prevents accidental discharge from the standard fire extinguisher. The defense system also includes an ergonomic handle that ensures secure grip and stability under stress corresponding the standard fire extinguisher.

The application relates to the technical field of power grid electric energy, in particular to a passive power filter for a power grid electric energy quality active defense system, which comprises an outer box body, a filter unit and a bottom control frame are arranged in the outer box body, the bottom control frame is connected below the filter unit, the bottom control frame comprises a bracket, a walking frame, a heat conduction plate and a thermal control device, the bracket is fixed on the inner wall of the outer box body, the walking frame is connected above the bracket, and the heat conduction plate is fixed above the walking frame, the design of the bottom control frame realizes the multi-control effect on the filter unit, the filter unit can be conveniently disassembled and assembled on the outer box body, and the quality of power maintenance work is improved; in addition, a mechanical temperature control real-time monitoring device is arranged in the walking frame, compared with the temperature monitoring of electronic instruments in the traditional technology, the mechanical temperature control device can directly reduce the economic investment cost in the power grid electric energy by replacing the electronic instruments.

The invention discloses a sky-ground integrated wildfire disaster defense method and defense system, and the method specifically comprises the following steps: S1, carrying out the change detection of remote sensing data through a central processing platform, constructing a multi-factor dynamic risk fusion model, and generating an initial target region list; s2, constructing a fire scene state vector and a meteorological threat vector of the initial target area, calculating a spreading potential index, and obtaining a dynamic task priority score; s3, the fire extinguishing unmanned aerial vehicle conducts fire extinguishing treatment; and S4, constructing a time sequence aligned truth value sample library, and optimizing the multi-factor dynamic risk fusion model to complete a data closed loop. According to the invention, multi-source dynamic information can be fused to carry out fire point identification, deep cooperation of sky, ground, air and a central processing platform is realized, full-process automation from monitoring and early warning to precise disposal is completed, the system is suitable for complex scenes through task priorities, the monitoring precision of fire defense is improved, and the fire defense precision is continuously improved.

The present disclosure relates to elicitors that defend responses in useful plants to establish a natural defense system of a plant against plant pests, where the elicitors are nonanoic acid or derivatives thereof.

The application discloses a power transmission line insulator double defense system and method, and belongs to the technical field of power transmission line maintenance. In the system, a power supply subsystem generates, stores and delivers high-pressure gas, and a first defense subsystem and a secondary defense subsystem are both communicated with the power supply subsystem through high-pressure delivery hoses to obtain high-pressure gas sources. The first defense subsystem is arranged around the power transmission line insulator, and the first defense subsystem forms an annular air curtain to block rain and snow from adhering to the surface of the insulator. The secondary defense subsystem detects and removes rain and snow that breaks through the annular air curtain. A photovoltaic power supply subsystem is used to provide power for the entire defense system. Each subsystem is electrically connected with an intelligent control subsystem, and the intelligent control subsystem is used to coordinate the starting, operation and parameter adjustment of each subsystem. The application solves the problems of high energy consumption and slow response of the existing anti-icing technology, and the problems of difficult capture of the micro-mechanism of icing and difficult reproduction of extreme working conditions, and realizes efficient blocking and removal of rain and snow.

The invention discloses a network security dynamic defense system and method based on a multi-agent joint game and mobile target defense, and the system comprises an environment sensing module which is used for monitoring network state data in real time, and the network state data comprise traffic features, vulnerability information and attack behaviors; and the multi-agent decision module is composed of a plurality of distributed agents, and each agent performs game strategy decision based on local observation information and shares key data with other agents through a secure communication protocol. Through the combination of the multi-agent joint game and the MTD strategy, the system can adjust the defense strategy in real time and effectively cope with complex attacks such as advanced persistent threats, and based on the Bayesian game model, the defense system can predict possible strategies of attackers in an incomplete information environment, deploy defense measures in advance, reduce response delay and improve the security of the attackers. And meanwhile, the software layer MTD and the network layer MTD are adopted, so that an attacker is difficult to accurately detect system vulnerabilities, and the attack cost is improved.

The invention relates to an anti-Theras gene derived from a cold spring, a screening method, an activity determination method and application of the anti-Theras gene, and particularly discloses an anti-Theras gene derived from the cold spring, and the nucleotide sequence of the anti-Theras gene is shown as SEQ ID NO: 1. According to the application, a novel anti-Theras gene is identified from a deep sea cold spring environment for the first time, and heterologous expression and plaque experiments prove that the novel anti-Theras gene can effectively antagonize a Theras defense system of a host. According to the anti-Theras gene provided by the invention, the types and sources of anti-defense genes are expanded, and a gene blank for non-classical defense system Theras from a cold spring environment is provided.

We provide a missile defense system that utilizes generative AI to perform real-time dynamic analysis and generate defensive measures, thereby improving the responsiveness and flexibility of missile defense. [Solution] This invention provides a missile defense system that utilizes generative AI and ensemble learning with multiple AI models to analyze enemy missile flight data and communication signals in real time and immediately generate jamming signals and interception measures. Through ensemble learning, each AI model analyzes the threat from its own perspective, and the generative AI integrally generates the optimal defense measures. Furthermore, the continuous learning function improves the accuracy of defenses in subsequent instances, and enhances responsiveness and flexibility against irregular threats and multiple attacks. This system dramatically strengthens the ability to defend against diverse attacks.

The present application relates to the field of unmanned aerial vehicle defense, and discloses a method for determining attack sequence of unmanned aerial vehicles, an electronic device and a defense system. The method for determining attack sequence comprises: predicting a first predicted time length when an unmanned aerial vehicle reaches a preset protection boundary, predicting a second predicted time length when the unmanned aerial vehicle reaches a radar detection blind area, determining a target threat level according to the first predicted time length and the second predicted time length, and determining an attack sequence of each unmanned aerial vehicle according to the target threat level of each unmanned aerial vehicle. Therefore, the present embodiment can determine the threat degree of each unmanned aerial vehicle according to the time when each unmanned aerial vehicle will reach the preset protection boundary and the time when each unmanned aerial vehicle will reach the radar detection blind area, and automatically determine the attack sequence according to the threat degree, which is beneficial for a user to aim at each unmanned aerial vehicle according to the attack sequence, shorten the attack decision time, and reduce the attack difficulty, thereby being beneficial for implementing effective attack on each unmanned aerial vehicle in turn before the unmanned aerial vehicles intrude into the preset protection boundary or cross the radar detection blind area.

The invention relates to the technical field of biotechnology and microbial application, and discloses a pseudomonas aeruginosa bacteriophage PA3Z1 and application thereof, the preservation number of the bacteriophage is CCTCC M 20252579, and the bacteriophage has the characteristics of short incubation period, wide host spectrum, strong environmental tolerance and the like. According to the method, calcium and magnesium ion auxiliaries are introduced into enrichment culture, and the adsorption efficiency and the preparation yield of the bacteriophage are improved by utilizing a charge shielding effect. In addition, the invention also provides a bacteriophage bacteriostatic preparation based on a specific SM buffer solution, and the stability of the preparation in a high-temperature and acid-base environment is enhanced by utilizing magnesium ion coordination and a pH buffer mechanism. The pseudomonas aeruginosa bacteriophage PA3Z1 can effectively split various drug-resistant strains, is suitable for preparing bacterial infection resisting drugs and environmental killing preparations, and can effectively block response of a host bacterium CBASS defense system and delay generation of the drug-resistant strains and population recovery.

The invention concerns an electro -optical defence system designed to be installed on a plat form and comprising a DIRCM system that includes a tracking unit. The electro-optical defence system is configured to use the tracking unit of the DIRCM system when the latter is not performing the DIRCM function in order to detect one or more approaching threats.

The invention provides a dynamic defense strategy iterative optimization method. The method comprises the following steps: defining a heterogeneous resource set of candidate configuration of a defense system, and defining core physical parameters; defining an attack and defense strategy space according to the core physical parameters, reconstructing a mapping relation between attack resources and time and modeling a time accumulation effect of attack success, and constructing an attack and defense game framework; solving a Nash equilibrium point for the switching path to obtain an optimal residence period and corresponding unit time equilibrium utility potential energy; mapping a reward signal of the reinforcement learning environment, and iteratively updating the state-action value table; and calculating an action selection probability, and determining a defense strategy tuple after iterative optimization according to the action selection probability. A double-layer coupling architecture of microscopic game evaluation and macroscopic intelligent planning innovatively constructed by the method directly maps Nash equilibrium utility potential energy calculated by a bottom layer into an environment reward signal of upper layer reinforcement learning, and total-factor collaborative optimization of a defense strategy in time and space dimensions is realized.

The invention discloses a monitoring vulnerability positioning and deep defense system based on attack and defense simulation, which relates to the technical field of network security defense, and comprises the following steps: constructing an asset atlas, unifying vulnerability entries, configuration items and permission items as exposed objects, and constructing a security graph; generating a candidate exposure set under the triggering of vulnerability update, exposure surface change or alarm abnormity, and performing reachability and precondition preliminary screening; a verification microprobe is generated for the candidate exposed object, evidence collection is executed after the range and the speed are limited through a safety gate, and a minimum telemetering fingerprint is extracted through convergence telemetering; the difference before and after execution is assembled into a difference evidence packet, alarm-step alignment is completed, and candidate root cause objects and retest signatures are positioned; and solving a minimum repair set and generating deep defense under the constraint of budget and change windows, implementing effective verification and microprobe rerun regression, and refilling a template library, so that irrelevant exposure treatment can be reduced, and the consistency of root cause positioning and acceptance inspection is improved.

The invention discloses an attack intention intelligent analysis method and device based on a dynamic game, and belongs to the technical field of network security, and the method comprises the steps: constructing a dynamic game model, and generating a game tree structure comprising a strategy space and a revenue matrix; obtaining multi-source heterogeneous security log data, and generating a standardized security data stream; extracting an attack behavior feature vector; strategy pruning is carried out based on the strategy space, game analysis is carried out, and an attack intention preliminary research and judgment result and a defense response strategy are output; based on the attack behavior feature vector, carrying out credibility evaluation on the initial research and judgment result of the attack intention, and generating an attack intention confidence score; and executing corresponding safety response operation according to the defense response strategy and the attack intention confidence score. According to the method, real-time accurate speculation of the attack intention is realized based on the dynamic game model, the complex attack scene is comprehensively understood by integrating the multi-source data context, and the follow-up behavior of the attacker is effectively predicted by simulating the interaction process of the attacker and the defense system.

The invention provides a deep sea island defense system and a defense control method. The defense system comprises a monitoring assembly, a central control assembly, a multi-stage defense assembly and a dual-energy coupling energy supply assembly. A sonar and a fiber grating array in the monitoring assembly cooperatively work to monitor a water area characteristic signal in a preset sea area range in real time; a three-dimensional modeling module in the central control assembly is used for three-dimensional modeling, a data fusion module is used for receiving and processing the water area characteristic signal, and a prediction evaluation module is used for receiving a processing result of the data fusion module and generating a defense control instruction; the multi-stage defense assembly is arranged on the island reef and within a preset sea area range, so as to perform multi-stage physical defense based on the received defense control instruction; and the dual-energy coupling energy supply assembly is used for supplying energy to each assembly in the defense system. The defense system integrates sensing, decision making, response and energy supply, all the modules work cooperatively, and rapid and effective recognition and three-dimensional defense of high-concealment invasion targets are achieved.

The invention discloses a software endogenous security evaluation and elastic defense system and method, and belongs to the technical field of software information security analysis, and the method comprises the following steps: continuously collecting multi-dimensional telemetry data such as time sequence behavior, resource consumption and dependent calling during software operation and external threat intelligence; constructing a dynamically updated behavior baseline by using a clustering algorithm based on historical normal data; comparing the real-time data with a baseline, calculating various types of anomalies, and constructing a three-dimensional risk portrait covering vulnerabilities, maintenance, permissions and behaviors for each dependency item; constructing a risk conduction graph according to a dependency calling relation, quantifying a risk conduction effect through a graph propagation algorithm, and outputting a comprehensive evaluation report for accurately positioning a risk source and a path; and finally, according to the risk level, executing an elastic layered response strategy of switching from alarm, current limiting, sandbox to fusing. According to the method, accurate and explainable evaluation and refined elastic defense of the endogenous risk during software operation are realized, and safety and service continuity are effectively balanced.