56 results about "Jamming attack" patented technology

One example method includes receiving, by an anti-jamming module, information indicating that nodes of a communication network are unreachable, determining, by the anti-jamming module, whether the nodes match with nodes expected to be affected by an anticipated jamming attack, when the nodes match with the nodes expected to be affected by the anticipated jamming attack, providing, by the anti-jamming module, communication network route changes to a network monitoring module, and when the nodes do not match with the nodes expected to be affected by the anticipated jamming attack, calculating, by the anti-jamming module, other communication network route changes, and providing the other communication network route changes to the network monitoring module.

The invention discloses a satellite secure transmission optimization method and system based on joint anomaly detection, mainly solving the problem of low end-to-end transmission reliability under the condition of network attack in the prior art, and the implementation scheme comprises the following steps: constructing a time-varying network topology according to constellation configuration; periodically updating a network topology and a satellite neighbor node set according to the law of satellite orbital motion; the network is monitored in real time based on an anomaly detection mechanism, whether the current network is subjected to interference attack and DoS attack is judged in time, and whether the current satellite can safely transmit data is judged; and according to indexes such as node states, link hops, detection precision, node load capacity and link transmission delay, and according to a network topology and a neighbor node set at the current moment, determining a routing control optimization problem, and guiding each satellite to select an optimal transfer satellite along a transmission direction according to an optimal solution to obtain an end-to-end optimal transmission path. The method can actively trigger a detection mechanism to quickly identify abnormal nodes, obtains a safe and reliable end-to-end transmission path, and can be used for a low earth orbit satellite network.

The invention relates to a cognitive communication resource allocation method under interference and eavesdropping attack based on P-MADDPG, and belongs to the field of cognitive communication resource allocation. The method comprises the following steps: (1) proposing a multi-user distributed energy harvesting cognitive communication network model considering the coexistence of interference and eavesdropping; and (2) providing a P-MADDPG resource allocation method based on the combination of a PER (Priority Empirical Replay) mechanism and a multi-agent reinforcement learning algorithm MADDPG of a CTDE architecture so as to cope with interference attacks and eavesdropping attacks of the model in the step (1) in a transmission stage and realize cognitive communication resource allocation. According to the method, the problem of distributing the transmitting power, the transmission time and the auxiliary interference power for the multi-user distributed energy acquisition cognitive communication network under interference and eavesdropping attacks can be solved, and the average secrecy rate of the SU network is improved.

A computer-implemented method (CIM), according to one embodiment, includes performing a detecting and monitoring adversarial jamming (MDJ) process for an edge environment that includes a first edge device and a central hub. In response to a determination that a jamming attack event is likely to occur, a pre-emptive edge user device protection process (PPP) is caused to be deployed. In response to a determination that a jamming attack event has occurred, a post-process jammed data (PJD) process is caused to be deployed at a recipient of a wireless transmission subject to the jamming attack event. The CIM further includes generating, based on results of deploying the PPP and / or the PJD process, a first set of new parameters for a model of a device that sent the wireless transmission, and causing the first set of new parameters to be distributed to the model of the device that sent the wireless transmission.

The present disclosure relates to a spectrum sharing method that can prevent jamming attacks and frequency interference through frequency hopping when operating multiple units simultaneously in a non-terrestrial network. The spectrum sharing method through frequency hopping according to an embodiment of the present disclosure is a spectrum sharing method through fast frequency hopping (FFH) in a plurality of cells assigned with different frequencies, the spectrum sharing method including: identifying occupied frequencies assigned to a cell at which a communication unit is positioned and at least one adjacent cell, respectively; and changing collision frequencies matching the occupied frequencies in a preset hopping pattern in the communication unit to a frequency that is not the occupied frequencies.

The invention discloses a side channel attack resistant binomial sampling circuit applied to a post quantum cryptography algorithm. The side channel attack resistant binomial sampling circuit comprises a random number generation unit, a binomial sampling unit and a control logic unit, the random number generation unit is used for generating a pseudo-random number according to input data; the pseudo random number comprises true data and false data; the binomial sampling unit is used for synchronously carrying out binomial sampling on true data and false data; and the control logic unit is used for controlling the random number generation unit and the binomial sampling unit to operate according to an external instruction. According to the side channel attack-resistant binomial sampling circuit applied to the post-quantum cryptographic algorithm, the analysis difficulty of an attacker is increased by generating a pseudo-random number, and meanwhile, the attacker is interfered by synchronously sampling true data and false data, so that the protection on the side channel attack is jointly realized, the security of a Kyber cryptographic system is effectively improved, and the security of the Kyber cryptographic system is improved. And the risk of side channel attack is reduced.

The invention discloses an intelligent resource allocation method for an unmanned aerial vehicle cluster communication network under interference attack, and belongs to the fields of unmanned aerial vehicle communication, unmanned aerial vehicle trajectory optimization, unmanned aerial vehicle resource allocation, interference resistance and the like. Path planning is carried out by using an improved simulated annealing algorithm, and spectrum allocation and power selection are optimized under various constraint conditions, so that the average transmission delay of the system is reduced, and the interference influence is reduced. In order to solve the problem that an optimal allocation strategy cannot be found in limited time, an optimization algorithm DDQNper-TL based on DDQN is provided according to a priority experience playback and transfer learning algorithm. Simulation results show that the performance of the method is obviously superior to that of reference algorithms such as non-optimized DDQN under the interference attack condition, and lower average transmission delay is achieved.

The application belongs to the technical field of communication, and discloses a wireless communication terminal anti-interference method and system; each terminal is allocated a terminal identification code before data communication after accessing a network, and a main channel and a backup channel resource pool are specified; each terminal perceives the state of each channel in real time, records the terminal identification code of other terminals in the environment, the channel used by each terminal and the channel suffering from interference attack each time data transmission; each terminal independently adopts a given Q-learning algorithm to model the behavior of an interferer, predict an interference channel and finally select a channel according to the above information; if the main channel will not suffer from interference, the main channel is selected for the next data transmission, otherwise, a cyclic channel allocation calculation is made according to the terminal identification code, the predicted interference channel and the backup channel resource pool. The application effectively realizes anti-interference in the scene of multiple terminals, has low calculation complexity, does not need information interaction between terminals and is easy to realize.

In a wireless communication system, at least one UE detects GNSS signal spoofing / jamming and reports a detected spoofing / jamming attack to a server in the network apparatuses using an extended LPP GNSS error reporting format with an additional error cause and an attack probability metric. Further, the network apparatuses may take an implementation-dependent decision depending on crowd-sourced information of one or more spoofing / jamming attack reports received from one or more UEs.

The application provides a dynamic address hopping attack target depth interference adjustment method and system, and belongs to the technical field of network security.The method comprises the following steps: searching for idle IP addresses of each network segment in a user network area through a network scanning tool; generating a large number of trapping hosts based on the collected idle IP addresses; performing same-side mixed deployment on the generated trapping hosts and real hosts of the user; determining the hopping range of the IP addresses of the trapping hosts, setting specific IP address segments according to network planning, setting the hopping port number range of each trapping host, and dividing different port groups according to the service type; through the deployment of the dynamic address hopping and the large number of trapping hosts, the difficulty of the attacker in identifying and attacking the real host is significantly improved, so that the attack behavior of the attacker is effectively interfered, and the overall network security is improved.

The application discloses a binomial sampling circuit applied to post-quantum cryptographic algorithm and resisting side channel attacks, comprising a random number generation unit, a binomial sampling unit and a control logic unit; the random number generation unit is used for generating pseudo random numbers according to input data; the pseudo random numbers comprise true data and false data; the binomial sampling unit is used for synchronously performing binomial sampling on the true data and the false data; and the control logic unit is used for controlling the random number generation unit and the binomial sampling unit to operate according to external instructions. The binomial sampling circuit applied to post-quantum cryptographic algorithm and resisting side channel attacks disclosed by the application increases the difficulty of analysis of attackers by generating pseudo random numbers, synchronously samples the true data and the false data to interfere with the attackers, and jointly realizes the protection against side channel attacks, thereby effectively improving the security of a Kyber cryptographic system and reducing the risk of being attacked by side channels.

The invention relates to a method for detecting and mitigating an interference attack by an interference transmitter in a wireless V2X communication network in which a plurality of mobile devices communicate with one another, comprising: analysing received signals with respect to power-related parameters, wherein an interference signal is detected in the event of a deviation from specified power parameters, classifying the interference signal according to whether the interference signal is a genuine interference signal or a false interference signal, wherein an energy pattern of the interference signal is determined on the basis of the estimated parameters, and wherein an AI-based discriminator is used such that after a test with an appropriate probability sequence either the interference signal is detected as a genuine interference signal or the interference signal is detected as a false interference signal, classifying the genuine interference signal for different radio interference attacks such that a mitigation measure of the genuine interference signal takes place, on the basis of the type of interference attack determined, in such a way that the effect of the interference transmitter is weakened. An autonomous vehicle equipped with mobile sensors, particularly drones, which can be operated in both coupled and autonomous modes, wherein said drones can be deployed with reconfigurable intelligent surfaces (RIS) for mitigating interference attacks and defending against cyber threats, such as interference transmitters, to ensure security and efficiency of the V2X wireless communication network.

The invention discloses a physical layer authentication method based on mixed frequency hopping and channel phase response, and aims to improve authentication performance under various attack strategies. According to the technical scheme, frequency hopping (FH) is introduced in the authentication process, and a frequency hopping mode is generated through nonlinear transformation based on a timestamp and a shared key, so that it is ensured that the carrier frequency used in each authentication process changes randomly. Eve is difficult to effectively carry out interference attack or passive attack on the correct carrier frequency. Furthermore, in consideration that the time-varying characteristics of the wireless channel may not be well matched, particularly for some quasi-static channels, the FH may provide fast time-varying characteristics as the carrier frequency is updated during different authentication processes. According to the method, the anti-interference capability of the system is improved, so that a legal user can still keep a relatively high authentication success rate under interference attack.

The invention discloses a preemption and perception cross spoofing attack detection method based on systematic residual check. The method comprises the following steps: acquiring a damaged signal subjected to a PSCS attack; performing discrete Fourier transform on the damaged signal to obtain a plurality of resource elements, and extracting a phase gradient and an amplitude deviation for each resource element; defining a non-attack state constraint function and an attack state constraint function by using the phase gradient and the amplitude deviation corresponding to each resource element, so as to express the construction of test statistics as a minimum and maximum optimization problem; a minimum and maximum optimization problem is converted into a semi-definite programming problem through a kernel tensor completion technology, and test statistics are obtained by solving the semi-definite programming problem; based on the test statistics, calculating a detection threshold according to a false alarm probability; and calculating the current test statistic of the to-be-detected signal in the current time slot, and if the current test statistic is greater than the detection threshold, judging that the PSCS attack exists, thereby realizing the effective seizing and sensing cross spoofing attack detection method.

Provided are a method and a system for detecting position measurement anomalies in a global navigation satellite system (GNSS) for a plurality of stationary GNSS receivers. Therein, GNSS measurement indication from a GNSS receiver is determined to be affected by an anomaly if the GNSS measurement indication is not received at a configured timing, and / or if the measured GNSS signal parameter value is invalid and / or deviates from a recorded position of the GNSS receiver and / or or from a recorded GNSS signal parameter value from a past measurement by the stationary GNSS receiver. Accordingly, the present disclosure facilitates cost efficient, area-wide, high-resolution, and continuous monitoring of GNSS anomalies (such as spoofing and / or jamming attacks).

The present invention addresses the problem that satellite communication systems are susceptible to interference attacks due to open channels and relatively fixed satellite orbit information, and proposes a highly resilient anti-interference satellite communication method based on dual-beam user terminals and multiple satellites, which belongs to the field of satellite communications. During the operation of the main beam of the user terminal, the backup beam polls and detects the available communication resources of multiple satellites to obtain the channel status. When the main beam is interrupted by an interference attack, the backup beam is switched to the main beam in a very short time to restore and maintain smooth communication. The main beam is then switched to the backup beam simultaneously, and polling continues between the available communication resources, thereby forming a user satellite communication network with higher resilience and stronger anti-interference capabilities. The method of the present invention has a short anti-interference and communication maintenance time for the satellite communication system after interference, and is suitable for the design and development of key user satellite communication systems and user terminals with resilience and anti-interference communication requirements as the main requirements.

An unmanned aerial vehicle cluster security test system based on an information physical space comprises a wireless penetration module, a cluster detection module, a cluster penetration module and a PX4 deception module, and the wireless penetration module comprises a wireless cracking module; the cluster detection module comprises a cluster scanning module and an ROS node request connection module; the cluster penetration module comprises ROS node cancellation attacks, port depletion attacks and wireless interference attacks; the PX4 spoofing module comprises a PX4 flight control IP determination module and a control instruction spoofing attack. And the unmanned aerial vehicles in the target unmanned aerial vehicle cluster have an unmanned aerial vehicle cluster system with wireless communication and autonomous sensing, planning and flying capabilities. The invention further provides an unmanned aerial vehicle cluster safety testing method based on the information physical space. The unmanned aerial vehicle cluster safety test system is easy to deploy and operate, and a test effect can be obtained in a short time.

The present disclosure relates to a technique for configuring secure (or hidden) physical random access channel (PRACH) resources for trusted user equipment (UE) in a wireless communication network. According to the technique, a network node signals a set of secure PRACH resources, each having an ID, to a trusted UE, preferably by using an encrypted message. When it is detected that a set of common PRACH resources currently used by the trusted UE for PRACH preamble transmission is subjected to a hostile attack (e.g., interference attack), the network node selects one or more secure PRACH resources from the set of secure PRACH resources that may be used in place of the common PRACH resources for PRACH preamble transmission. The ID of the selected secure PRACH resource is signaled by the network node to the UE. The PRACH resources so configured are better protected from hostile attacks.

A short packet covert communication method for countering change-point detection-based interference attacks includes information sensing, key generation and codebook sharing, information encoding, information transmission, and decoding of the decrypted signal using a shared Gaussian codebook. The method includes a sending node, a receiving node, and a detection node. The detection node uses Shewhart change-point detection, meaning it makes a judgment each time it observes channel usage. Once the detection node detects a transmission from the sending node, it launches an interference attack to fully disrupt information transmission. Therefore, when a transmission is detected by the detection node and subjected to an interference attack, the destination node cannot successfully decode the data. To successfully transmit information, the sending node uses any moment during the interference gap to randomly transmit private data encoded with a finite block length with a priori transmission probability, thereby enhancing the concealment of the transmission.

The invention discloses an elastic multi-target monitoring and tracking method for resisting a composite attack, which comprises a layered framework of two layers, namely a communication layer and a decision layer, and is characterized in that in the first communication layer, a game theory method is provided based on a maximum and minimum distribution principle, and the composite attack is resisted through communication graph reconstruction; the monitoring elasticity and the tracking performance of the system under denial of service attack and sensor interference attack are obviously improved; and in a second decision layer, a distributed collision avoidance controller fusing a control obstacle function and a weighted Thiessen polygon graph is designed, target radiation attack can be effectively counteracted, and adaptive risk perception tracking is ensured while an obstacle avoidance function is realized. The method provided by the invention is suitable for a scene in which multiple robots monitor and track multiple targets in a dangerous environment, can maintain the monitoring and tracking capability of the scene, and realizes stable monitoring and efficient tracking in a complex confrontation environment.

The invention discloses a multi-channel switching method and a multi-channel switching system based on position and flow load. The method comprises the following steps of: firstly, detecting whether nodes in a cluster are suffered from interference attack by tracking real-time throughput according to the nodes in the cluster; secondly, the cluster head decides whether channel switching needs to be carried out or not according to the proportion of the interfered nodes; finally, in order to prevent the situation that the throughput is reduced due to the fact that the adjacent clusters are switched to the same channel, a new channel is selected for switching according to the service load and the positions of other clusters. By implementing flexible multi-channel switching, performance reduction caused by fixed-frequency interference can be more actively dealt with. Compared with a single channel switching scheme based on the position and the flow load, the method comprehensively considers the position and flow load factors, can avoid the conditions of inter-channel interference and great increase of the channel load generated by channel switching, further avoids great reduction of the network throughput, and improves the channel switching efficiency. And the anti-interference performance of the unmanned aerial vehicle multi-cluster network is improved.

The invention discloses a network space endogenous security protection system, method and device based on mimicry defense and a medium, and belongs to the technical field of network space security protection, and the method comprises the steps: carrying out attack perception and application layer dynamic cheating through a network layer intelligent threat hunting module; deep threat analysis and network layer intelligent hunting are carried out through the network layer intelligent threat hunting module; host layer anomaly detection and endogenous immune treatment are carried out through a host layer endogenous safe immune module; and unified scheduling and cross-layer collaborative response as well as quantitative evaluation and active closed-loop optimization are carried out through the unified scheduling and quantitative evaluation center. According to the invention, through dynamic traffic scheduling and behavior simulation trapping of the application layer mimicry camouflage module, attacker detection is effectively confused and interfered, and the active defense capability is improved; by means of a multi-engine fusion analysis and predictive AI model of a network layer intelligent threat hunting module, high-precision detection and attack chain reconstruction of known and unknown threats are realized.

The application discloses a method for resisting satellite Internet of Things uplink interference attack, and a satellite Internet of Things system comprises a central gateway, a plurality of service areas and a space segment; the service area comprises a plurality of legal terminal nodes, and the space segment is composed of one or more communication satellites in geostationary or non-geostationary orbits. Each communication satellite provides a single or multiple beams to cover different service areas, the satellite can connect the service areas to the central gateway, and then store collected messages and transmit the messages to the central gateway. The method comprises the following steps: calculating a MAC layer load G, calculating a preamble time, calculating an average data packet arrival number, and calculating a minimum IC step length under a specified detection probability through a Poisson distribution. The application has the advantages that the system performance decline caused by the preamble camouflage attack can be resisted, the preamble deception interference which has a great influence on the system performance is effectively eliminated, and the system stability is greatly improved.

The invention provides a high-toughness anti-interference satellite communication method based on a dual-beam user terminal and multiple satellites, and belongs to the field of satellite communication. The high-toughness anti-interference satellite communication method aims at solving the problem that a satellite communication system is easily interfered and attacked due to open channels and relatively fixed satellite orbit information. When a main beam of a user terminal works, a standby beam performs polling detection among available communication resources of a plurality of satellites to obtain a channel state, and when the main beam is interfered and attacked and the communication is interrupted, the standby beam is switched to the main beam in an extremely short time, the communication is recovered and kept smooth, and the main beam is synchronously switched to the standby beam, so that the communication efficiency is improved. And polling is continued among the available communication resources, so that relatively high toughness and relatively strong anti-interference capability of the user satellite communication network are formed. The method is short in anti-interference and communication-keeping processing time after the satellite communication system is interfered, and is suitable for design and development of key user satellite communication systems and user terminals with toughness and anti-interference communication requirements as the main.

The present disclosure relates to a technique for configuring secured (or hidden) Physical Random Access Channel (PRACH) resources for trusted User Equipments (UEs) in a wireless communication network. According to the technique, a set of secured PRACH resources each having an ID is signaled by a network node to a trusted UE (preferably by using an encrypted message). When it is detected that a set of public PRACH resources currently used by the trusted UE for PRACH preamble transmissions is under a malicious attack (e.g., a jamming attack), the network node selects, among the set of secured PRACH resources, one or more secured PRACH resources which may be used instead of the public PRACH resources for the PRACH preamble transmissions. The ID(s) of the selected secured PRACH resource(s) is(are) signaled by the network node to the UE. The PRACH resources thus configured are better protected from malicious attacks.

The invention discloses a reactive interference-oriented secure cognitive radio network power allocation method, and belongs to the field of communication resource allocation and anti-interference secure communication of a cognitive radio network. The implementation method comprises the following steps: analyzing secondary user communication requirements and disturber behavior characteristics, constructing a CR network model containing time-varying channel gain and a random reactive interference model, and deducing an optimal dynamic energy detection threshold of a disturber; constructing a CR network power distribution optimization problem by taking maximization of a secondary user communication rate and avoiding of reactive interference attacks as targets; aiming at the dynamic uncertainty of channel gain and interference behaviors, constructing a Markov decision process based on a deep reinforcement learning framework, and giving definitions of basic elements such as states, actions, rewards and the like; and constructing a double-depth Q network, and solving to obtain a CR network power distribution scheme, thereby realizing the power distribution of the CR network in the reactive interference scene. The method has the advantages of high communication security, high robustness in a complex environment and the like.

In one example embodiment, a method for detecting signals intended to interfere with satellite signaling includes receiving, by a receiving node, a signal masquerading as a satellite signal from a signal source, determining an estimated location of the receiving node based on the orbital position of the satellite and characteristics of the signal, comparing the estimated location of the receiving node to a reference location of the receiving node, determining that the signal source is a spoofing source other than a satellite, and determining a location of the spoofing source based in part on the estimated location.

The invention relates to a system for detecting and / or defusing an interference attack by a jammer in a wireless communication network in which a plurality of mobile users are located, comprising a signal detection unit for detecting signals in the communication network, a monitoring unit for monitoring a radio channel with a signal coding estimation module for estimating a signal coding of the jammer and / or a signal power estimation module for estimating a signal power of the jammer and / or a position estimation module for estimating a position of the jammer and / or a signal coding profile of the jammer, an evaluation unit for generating an interference attack detection signal via the interference attack object depending on a result of the signal coding estimation module and / or the signal power estimation module and / or the position estimation module.

The invention provides an attack target depth interference adjustment method and system based on dynamic address hopping. Belongs to the technical field of network security. The method comprises the following steps: in a user network area, searching an idle IP address of each network segment through a network scanning tool; generating massive trapping hosts by taking the collected idle IP addresses as a reference; carrying out same-side mixed deployment on the generated trapping host and the real host of the user; determining a jump range of an IP address of a trapping host, and setting a specific IP address field according to network planning; setting a jumping port number range for each trapping host, and dividing different port groups according to service types; through the deployment of dynamic address hopping and massive trapping hosts, the difficulty of identifying and attacking a real host by an attacker is remarkably improved, so that the attack behavior of the attacker is effectively interfered, and the overall security of the network is improved.

The invention provides a V2V resource allocation method based on a D3QN-LSTM under interference attack, which comprises an anti-interference resource allocation strategy based on the D3QN-LSTM, and is characterized in that random interference, sweep frequency interference and sensing interference are resisted through an adaptive defense mechanism comprising strategic channel switching and dynamic power adjustment; an anti-interference resource allocation problem is converted into an MADRL framework to process PUs access, the influence of malicious interference attack on a channel and the non-stationary characteristic of cognitive Internet of Vehicles, and joint optimization of transmission power allocation and channel access decision is performed through a V2V intelligent agent based on a D3QN-LSTM algorithm architecture. LSTM is integrated into a feature layer so that a vehicle can accurately estimate the system state and extract global information, each pair of V2V links learns an optimal strategy through interaction with the environment through an intelligent agent, and rewards related to PUs, malicious interference channels and the V2V link outage probability are combined through a reward function mechanism; according to the method, the data transmission success rate of the V2V link is optimized, and the communication stability and reliability of the V2V link can be guaranteed under malicious interference attacks.