357 results about "Covert communication" patented technology

The invention discloses an information security management method based on data processing, and particularly relates to the field of information security management, comprising multi-source heterogeneous data acquisition, multi-dimensional feature index calculation, comprehensive threat detection calculation and adaptive threat decision. According to the method, the covert communication channel is accurately identified by constructing the encrypted traffic multi-mode detection model and combining protocol fingerprint entropy and traffic self-similarity analysis; an improved entropy weight fusion algorithm is adopted, collaborative analysis of system process abnormity, network behavior offset and hardware degradation is achieved, and a cross-dimension attack chain is reconstructed; a storage medium physical feature-cryptographic module runtime joint monitoring mechanism is created for the first time, hardware layer physical attacks and cryptographic side channel vulnerabilities are synchronously defended through temperature-delay correlation evaluation and key derivation density analysis, a complete attack surface from a physical layer to an application layer is covered, and the security is improved. And the detection precision and the response real-time performance of the complex threats are obviously improved.

The invention provides a covert communication method based on near-field broadband super-large-scale array beam splitting. Comprising the following steps: S1, according to an applied near-field covert communication scene, constructing a corresponding communication model by using a beam splitting effect in a broadband XL-MIMO system, carrying out beam training, and describing a received signal expression of the communication model; s2, constructing a signal detection model of a listener according to a near-field covert communication scene, and describing a detection error probability expression and a covert constraint expression; and step S3, the hidden transmission rate is maximized by optimizing the transmitting power and the subcarrier number of the transmitter. According to the method, the two-dimensional optimization problem related to the transmitting power and the subcarriers is converted into the one-dimensional optimization problem related to the discrete variable quantum carrier number, and the concealment rate of a legal receiver is maximized.

The invention discloses a non-ideal ISAC system beam forming method with an anti-eavesdropping capability, which is characterized in that a base station is intelligently optimized to transmit beam forming so as to ensure that radar sensing requirements are met under the condition of limited power resources, and attacks of potential eavesdroppers and guards are effectively resisted, so that the anti-eavesdropping capability of the non-ideal ISAC system is improved. Therefore, the safety communication and covert communication performance of system communication users is obviously improved. Specifically, according to the method, a safe ISAC scene which has potential eavesdroppers and guards at the same time, legal nodes of a system have hardware damage, and CSI of illegal nodes cannot be obtained perfectly is considered, and in order to guarantee safe communication and sensing performance, a legal signal energy minimization optimization problem is established. And then, the original problem is converted into a convex optimization problem by utilizing a positive semidefinite relaxation technology and an S process technology, and the convex optimization problem is solved by utilizing a CVX toolbox, so that the strategy effectively ensures the safety communication and target sensing performance of the system under limited power resources, and the complexity of the problem is reduced.

The invention discloses an MISO-oriented covert communication optimization method and system, and the method comprises the following steps: (1) constructing an MISO-oriented covert communication system model which comprises a transmitter with multiple antennas, a receiver with receiving and interference functions, and a listener; (2) constructing an optimization problem of the MISO-oriented covert communication; (3) converting the optimization problem into a convex optimization problem; and (4) carrying out iterative solution on the convex optimization problem until values of Pa, ua and ub when the value of the average covert rate R is maximum are obtained, and outputting the values as an optimal covert communication strategy. According to the invention, high concealment and high communication rate are realized at the same time.

The embodiment of the invention relates to the technical field of unmanned aerial vehicle communication, in particular to a non-Gaussian noise assisted unmanned aerial vehicle covert communication method and system, and the method comprises the steps: building an unmanned aerial vehicle covert safety communication scene model assisted by an unmanned aerial vehicle jammer transmitting non-Gaussian noise; establishing an optimization problem in the established model by taking maximization of the average security hidden throughput of multiple users as a target and combining the concealment and power limitation constraint conditions; the optimization problem is converted into a multi-unmanned aerial vehicle cooperation Markov decision process; aiming at the Markov decision process obtained by conversion, using a combined attention mechanism and a standard multi-agent double-delay depth deterministic strategy gradient to optimize the multi-unmanned-aerial-vehicle trajectory to obtain an optimal multi-unmanned-aerial-vehicle trajectory; and instructing the unmanned aerial vehicle to execute a communication task based on the optimal multi-unmanned aerial vehicle trajectory. According to the method, the average security covert throughput in a non-Gaussian noise assisted covert security communication scene of the unmanned aerial vehicle node in the air can be well improved.

The invention relates to an unmanned aerial vehicle covert communication resource optimization method based on intelligent reflecting surface assistance, which constructs a covert communication scene in which an intelligent reflecting surface and an unmanned aerial vehicle cooperate, and establishes an unmanned aerial vehicle covert communication model for maximizing the maximum average rate of a legal user on the premise of meeting the minimum detection probability of an eavesdropper. Initializing configuration information of a legal user, an eavesdropper, a jammer and an unmanned aerial vehicle; an eavesdropper detection probability model is constructed; initializing and calculating the trajectory of the unmanned aerial vehicle and the initial phase of the intelligent reflecting surface; the phase shift of the reflecting element of the reconfigurable intelligent reflecting surface and the track of the unmanned aerial vehicle are optimized; if the target function converges, the maximum average rate, the optimal phase shift and the optimal unmanned aerial vehicle trajectory of the user are obtained, and otherwise, one is added to the number of iterations, and all the variables continue to be optimized. According to the method, the maneuverability of the unmanned aerial vehicle and the mobility of the reconfigurable intelligent reflecting surface are fully considered, and the jammer is arranged to influence detection of legal signals by an eavesdropper so as to improve the average information rate of a user.

The invention relates to a cooperative hunting method and device for multiple underwater vehicles and computer equipment. The method comprises the following steps: acquiring operation information of a plurality of underwater vehicles and a target body, transmission channel information of each underwater vehicle and underwater environment information, and constructing each underwater vehicle model and a target body model based on the operation information of each underwater vehicle and the target body; constructing an underwater acoustic channel model based on the underwater environment information, and constructing a covert communication model between the underwater vehicles through a covert communication modeling strategy based on the transmission channel information of the underwater vehicles; and acquiring observation information of each underwater vehicle and action information of each underwater vehicle, and based on the observation information of each underwater vehicle and the action information of each underwater vehicle, through each underwater vehicle model, the target body model, the underwater acoustic channel model and the covert communication model, generating a cooperative encircling path of each underwater vehicle. By adopting the method, the efficiency of multi-agent collaborative surrounding in a complex task scene can be improved.

The invention discloses an intelligent covert communication method and device based on artificial interference and 3D beamforming, and the method specifically comprises the steps: firstly building a multi-antenna covert communication system model based on channel state information and antenna gain network parameters; then, based on a radio frequency signal receiving principle, establishing a signal detection model of the monitoring machine, calculating an omission ratio and a false alarm rate of the monitoring machine, obtaining a minimum error detection probability of the monitoring machine, and establishing an optimization problem of hiding rate maximization; constructing a depth determination strategy gradient (DDPG) neural network; and finally, on the basis of the DDPG neural network, an intelligent covert communication algorithm based on artificial interference and 3D beam forming is adopted, and the covert rate of the covert communication system is optimized. According to the method, the transmission rate of the legal receiver can be maximized under the condition of meeting the concealment limitation, the communication performance and the concealment performance are enhanced, and the intelligent concealed communication requirements in various scenes can be met.

The present invention discloses a device-to-device covert communication system assisted by a drone and an intelligent reflecting surface, establishes a drone and intelligent reflecting surface UIRS joint-assisted D2D covert communication model, including communication links between various entities, calculates the average minimum error detection probability and the maximum communication rate; the sender sends a covert signal to the UIRS, and the UIRS forwards it to the receiver. Among them, the UIRS changes the angles of the corresponding incident covert signal and the reflected covert signal through its constituent elements; the spectrum-sharing cellular user sends a cellular signal to the base station, and at the same time the base station sends an interference signal, introducing an uncertainty factor at the receiver of the eavesdropper Willie to achieve the covertness of the UIRS joint-assisted D2D communication link; the eavesdropper Willie monitors whether the UIRS joint-assisted D2D communication link transmits a covert signal; the covertness is measured by the average minimum error detection probability; under the multiple constraints of satisfying the average minimum error detection probability, the cellular communication link outage probability, the transmission power, and the transmission power of the interference signal, etc., the maximum communication rate of the UIRS joint-assisted D2D communication link is obtained, and the communication rate of the system is effectively improved under the joint assistance of the drone and the intelligent reflecting surface UIRS.

The invention relates to an unmanned aerial vehicle assisted covert communication system resource allocation method, and belongs to the technical field of wireless communication. The method comprises the following steps: S1, modeling an unmanned aerial vehicle assisted covert communication system; s2, modeling a channel model; s3, modeling a system communication rate; s4, modeling an eavesdropper error detection probability; s5, modeling a flight path and a resource allocation constraint condition of the unmanned aerial vehicle; s6, modeling the sub-problem of sending unmanned aerial vehicle trajectory planning and resource allocation as a Markov decision process (MDP); s7, determining an unmanned aerial vehicle track and a resource allocation strategy based on the federal multi-agent depth Q network; s8, modeling an interference unmanned aerial vehicle deployment and power control sub-problem as an MDP; s9, determining the position and power control strategy of the unmanned aerial vehicle based on the depth Q network; and S10, solving the sub-problems by adopting an alternating iteration method. According to the method, under the condition that the concealment constraint condition is met, the unmanned aerial vehicle track and the resource allocation strategy are jointly optimized, so that the system communication rate is maximized.

The invention discloses an encrypted communication system and method based on cognitive multi-carrier spread spectrum, and belongs to the field of covert communication. The encryption communication system comprises a transmitting device and a receiving device. The transmitting device comprises a data encryption module, a constellation encryption modulation module, a multi-carrier spread spectrum module, a frequency hopping module and a cognitive power distribution module. The receiving device comprises a band-pass filtering module, a de-hopping frequency module, a de-spreading module, a constellation decryption demodulation module, a data decryption module and a coherent combination module. The data encryption module is divided into an interleaving coding unit and a double-rule reversible cellular automaton encryption unit. The cognitive power distribution module continuously scans a wireless electromagnetic environment and carries out real-time spectrum analysis to give power spectrum density results sensed under all frequency hopping frequency sets. According to the invention, continuous detection and dynamic response to the spatial frequency spectrum state can be realized, and the communication concealment, the anti-interference performance and the resource utilization efficiency in a complex electromagnetic environment are remarkably improved by utilizing the frequency spectrum hole.

The invention relates to the technical field of NTN, and discloses a 5G NTN-based multi-mode steganography communication method and a satellite ground communication system, and the method comprises the steps: a ground transmitting terminal selects at least one of voice steganography, text steganography or protocol layer steganography, and generates a multi-mode steganography data stream; performing high-orbit channel optimization processing on the multi-modal steganography data stream, packaging the optimized multi-modal steganography data stream to a physical layer frame adaptive to the 5G NTN standard, and injecting an ephemeris prediction label; the GEO relay satellite forwards the data to a ground receiving end; and the ground receiving end receives and de-encapsulates the multi-mode steganography data stream to obtain the multi-mode steganography data stream, and extracts steganography data from the multi-mode steganography data stream according to an extraction rule corresponding to the steganography mode. According to the embodiment of the invention, through a multi-mode steganography mode, in combination with 5GNTN physical layer frame packaging, the compatibility of an NTN protocol is improved, the steganography data is prevented from being analyzed into abnormal signals by a protocol stack and discarded, and the reliability of covert communication is improved.

The invention discloses a covert communication optimization method based on deep reinforcement learning under limited character input, and belongs to the technical field of wireless communication. According to the method, an optimization problem which takes the minimum average bit error rate as a target function and takes hidden requirements, power and the like as constraints is constructed on a hidden communication model of a transmitting end, a receiving end, an intelligent reflecting surface and a monitor. Firstly, the bit error rate of a receiving end is given, the detection performance of a monitor is analyzed, and the KL divergence upper bound and the corresponding hidden constraint are deduced. The objective function and the constraint set of the constructed problem are non-convex, the optimization problem is trained and solved by constructing the optimization problem into a deep reinforcement learning model, the modulation order which is difficult to optimize by a traditional algorithm is optimized by using the advantages of deep reinforcement learning, a deep deterministic strategy gradient algorithm is selected to train the model, and then the error rate is minimized. And the covert communication performance is improved.

The invention provides an FD-RIS assisted covert communication method and system. The covert communication system comprises a base station, an FD-RIS, a covert user and an eavesdropper. According to the covert communication system, a time modulation technology is utilized to modulate a reflection coefficient of each reflection unit of the FD-RIS, and time delay is introduced in the time modulation process of each reflection unit; the method comprises the steps that an optimization problem is solved, the optimization problem takes maximization of the reachable rate of a hidden user as an optimization target, time delay and time modulation frequency in each reflection unit are obtained with the time modulation frequency constraint of the FD-RIS, the time delay constraint of the reflection units in the FD-RIS and the hidden constraint as constraint conditions, and the time delay and the time modulation frequency in each reflection unit are obtained. According to the method, the concealment performance can be remarkably improved, and the challenge of'safety blind areas' faced by a traditional RIS auxiliary concealed communication system is dealt with.

The invention discloses a hidden quantum communication method based on a quantum error correction code. The method comprises the following steps: a sender and a receiver generate keys and appoint the quantum error correction code and a hash function; the sender encodes coverage information and hidden information to obtain a coverage message and a hidden message, the Hash function values of the hidden message and the hidden information are embedded into the coverage message and rotated, and the coverage message is sent to the receiver to become a coverage disturbance message; the receiver obtains a hidden disturbance message and the Hash function value through unwinding, decodes the hidden disturbance message and the coverage disturbance message to obtain hidden disturbance information and original coverage information, and compares the disturbance Hash function value of the hidden disturbance information with the Hash function value to decide whether to give up communication; and the receiver calculates a concealment standard to judge whether the communication is concealed or not. According to the method, the problem of using the quantum depolarization channel to carry out covert communication is solved, and the detection of attack behaviors and higher accuracy are realized.

The invention discloses a relay satellite position optimization method and system based on satellite covert communication, and the method comprises the following steps: (1) constructing a covert communication model in a satellite covert communication system, the covert communication model comprises a relay satellite, a transmitting base station which is located on the ground and transmits signals to the relay satellite, a receiving base station which is located on the ground and receives the signals through the relay satellite and transmits interference signals to interfere with the detection satellite, and a monitoring satellite which monitors the signals of the relay satellite and transmits interference signals to interfere with the receiving base station. (2) constructing a minimum total error detection probability calculation model of a monitoring satellite in the satellite covert communication system; (3) establishing a relay satellite position optimization model which takes the maximum covert communication rate as a target and takes the condition that the minimum total error detection probability of the monitoring satellite is greater than or equal to a preset threshold value as a constraint condition; and (4) solving the relay satellite position optimization model to obtain the optimal position of the relay satellite. According to the invention, the concealment and the communication rate can be improved.

The invention provides an unmanned aerial vehicle covert communication method and system supported by a movable antenna, and the method comprises the steps: calculating the maximum communication rate of a legal user under the support of the movable antenna according to a communication scene of the movable antenna; according to a movable antenna communication scene, calculating a minimum detection error rate under multi-illegal-guard cooperative detection; based on the maximum communication rate and the minimum detection error rate, a joint optimization problem of time slot segmentation, beam forming, unmanned aerial vehicle trajectory and movable antenna position is established, and the optimization objective is to maximize the minimum throughput of legal users under the condition of satisfying covert communication constraints; an iterative algorithm based on block coordinate descent and continuous convex approximation is adopted to obtain optimized time slot segmentation, beam forming, unmanned aerial vehicle trajectory and movable antenna position parameters, and the parameters are applied to covert communication of the unmanned aerial vehicle. According to the method provided by the invention, the concealment requirement of unmanned aerial vehicle communication can be well met, and the network security is improved.

The invention discloses a multi-access-point covert communication federal optimization method for a UAV-RIS system. The multi-access-point covert communication federal optimization method comprises the following steps: (1) modeling aiming at UAV-RIS federal learning edge calculation; (2) modeling aiming at the UAV motion trail; (3) modeling is carried out for a UAV-RIS auxiliary hidden transmission channel; (4) formulating the problem; (5) decomposing non-convex problem form transformation and sub-problems; (6) carrying out splitting and form conversion on the sub-problems; (7) designing a dynamic cross optimization algorithm; according to the method, the covert communication federal learning has relatively high concealment and relatively high reliability.

The invention discloses a high-speed bionic covert communication method and system based on quadrature amplitude modulation. The method comprises the steps that a transmitting end transmits a bionic communication signal, a receiving end receives the bionic communication signal, and the bionic communication signal is generated through the following steps that information to be transmitted is coded in the form of a binary sequence, and a standard orthogonal amplitude mapping constellation diagram is adopted; mapping the coded binary sequence into a corresponding complex exponential sequence; converting an original dolphin click signal into a corresponding analytic signal based on Hilbert transform, and multiplying the analytic signal with the obtained complex exponential sequence to complete orthogonal amplitude modulation to obtain a code element sequence; dividing a plurality of adjacent code elements into a group, and inserting a training symbol in front of each group to obtain a frame of signal; and inserting the synchronizing signal into the front end of a frame of signal to obtain a bionic communication signal. According to the method, the high-bandwidth dolphin signal is selected as a carrier wave, the Hilbert transform is utilized to carry out amplitude and phase regulation and control on the signal in a time domain, the information is modulated in the amplitude and phase of click, the bandwidth utilization rate is high, the communication rate is up to 22.162 kbit / s under the hexadecimal system, and the data transmission capability of bionic covert communication is greatly improved.

The invention discloses a covert communication system based on a generative diffusion model, and belongs to the technical field of covert communication. In order to solve the problems of insufficient concealment and poor anti-noise performance in the prior art, hidden transmission and reliable recovery of information are realized by constructing a diffusion generation and classification discrimination module. The sending end carries out noise addition and shaping on the original bit waveform by using a forward diffusion process to form a noise-like hidden signal; and a receiving end recovers a signal structure through a reverse denoising process, and accurately judges bit information through a classifier. According to the method, a Gaussian approximation hidden waveform library is constructed by adopting a signal pair training model which is consistent in statistics but distinguishable in structure, and random sampling mapping and boundary smooth splicing are combined, so that transmission signals are difficult to distinguish from noise in a frequency domain and a feature space; therefore, the avoidance capability, the anti-interference robustness and the information recovery accuracy under the low signal-to-noise ratio of the detection means are remarkably improved.

The invention discloses an unmanned aerial vehicle ISAC system beam and three-dimensional trajectory joint optimization method for covert communication. Aiming at the condition that potential monitors exist in a network architecture in which an unmanned aerial vehicle performs downlink information transmission to a plurality of ground users, a communication system model is firstly constructed, and then an optimization problem conforming to a scene with user scheduling, a communication and sensing integrated waveform and an unmanned aerial vehicle flight path as constraints is constructed by taking maximization of an average covert communication rate of a system as a target; then, based on a BCD method, an original optimization problem is decoupled into sub-problems about user scheduling, a common inductance integrated waveform and a UAV three-dimensional flight path, and convex approximate fitting is carried out on each non-convex sub-problem; and finally, solving by adopting an iterative algorithm to find a global suboptimal solution of the whole optimization problem, an optimal sensing integrated waveform and a UAV flight trajectory. According to the invention, the security of information transmission is improved, the communication quality and concealment are maximized, and concealed transmission of information is realized.

The invention provides a covert communication method based on STAR-RIS and full-duplex cognitive interference. The method comprises the following steps: establishing a covert communication system model based on STAR-RIS and full-duplex cognitive interference; based on a binary hypothesis testing problem, evaluating a false alarm probability and a missed detection probability of hidden user UR spectrum interception; calculating the false alarm probability, the missed detection probability and the detection error probability of malicious monitor UW detection based on the average receiving power of the malicious monitor UW and the judgment criterion; obtaining the optimal detection threshold and the minimum detection error probability of the malicious monitor UW based on the definition of the detection error probability and the monotonicity of the false alarm probability and the missed detection probability under different classifications; the minimum average detection error probability of the malicious monitor UW is calculated based on the statistical magnitude of the channel hypothesis and the channel power gain. According to the method, the interference signal is transmitted by adopting the full-duplex hidden user, hidden communication is ensured, the inhibition effect of the interference of the direct and cascade double links on monitors in the same area is better, and the probability that information is detected can be effectively reduced.

The invention discloses an interference pricing and power control method based on a hierarchical game in public user-assisted multi-band covert communication, which is characterized in that a public user assists multiple pairs of covert users to transmit on multiple bands so as to cope with a scene threatened by multiple detectors, co-frequency mutual interference is brought to the public user during transmission of the covert users, and the transmission rate of the public user is reduced. The hidden user needs to pay the public user during transmission, the interference price is determined by the public user, and the hidden user decides the own transmitting power according to the interference pricing under the constraint of transmission concealment. The process of pricing hidden user decision power by a public user is modeled as a hierarchical game, the public user is a leader, and a plurality of pairs of hidden users are followers. And obtaining an optimal pricing decision process of the public user by using a reverse recursion method, and obtaining the optimal pricing of the public user and the optimal transmitting power of the hidden user through an iterative algorithm. The model is complete, reasonable and effective, and game equilibrium solutions of public users and hidden users can be obtained.

The invention relates to a directional covert communication method and system based on a phased-array antenna, and aims to improve the concealment and safety of a communication system through directional signal transmission and intelligent beam control. According to the method, a phased-array antenna array is adopted, and the direction of a signal beam is accurately controlled by adjusting the phase difference of antennas, so that a signal only covers a target area and is prevented from being leaked to a non-target area, and detection or interference by an enemy is effectively prevented. Through an ad hoc network communication protocol, each node dynamically selects an optimal communication path according to a real-time network state, and the reliability and stability of the system in a complex environment are ensured. In addition, the direction and range of the wave beam are adjusted in real time according to the signal intensity and the environment change through the self-adaptive wave beam adjusting technology, and the anti-interference capability and the concealment of communication are further enhanced. The method is suitable for the wireless communication fields of unmanned aerial vehicles, ad hoc networks and the like which require high concealment and detection resistance.

The invention belongs to the field of information security, and relates to a robust video steganography method and system based on neighbor block difference cost, which can resist video transcoding of a social platform and is used for covert communication of a lossy channel. According to the method, a cost distribution method based on neighbor block difference is designed to evaluate the robustness of an embedded unit, a global robust modulation mode is selected by using a minimization distortion frame, and the embedded unit is modulated by adopting quantization index modulation according to the global robust modulation mode to embed secret information. The robust video steganography method and system provided by the invention integrate strategies such as adjacent block difference cost, an optimal robust modulation mode and a minimization distortion frame, and can effectively support robust video steganography communication under a social network lossy channel.

The invention provides a hierarchical medical scene-oriented dynamic interference cooperative communication optimization system and method, and relates to the technical field of medical data communication security. The hierarchical medical scene-oriented dynamic interference cooperative communication optimization method comprises the following steps: S1, based on hierarchical medical scene differences of emergency treatment, ICU and common wards, realizing covert communication by using native physiological data transmission mutual interference signals of multiple devices in a medical monitoring network; s2, different communication security thresholds and data timeliness indexes are set for different levels of scenes; and S3, constructing a dynamic interference coordination framework, and realizing interference intensity adaptation by adjusting the transmission power (Pi) of the medical equipment and the dedicated channel gain (hj, iva). According to the invention, through linkage with the HIS system, differentiated safety thresholds and timeliness indexes are set for emergency treatment, ICU and common wards, and priority requirements of different scenes are accurately met; parameter synchronization can be rapidly completed during cross-scene transfer, and the problem of connection lag of a traditional scheme is solved.

The invention discloses a bionic signal demodulation method based on a DSCAF-Net. The method comprises the following steps: receiving a bionic signal, then carrying out signal preprocessing, constructing a double-flow feature tensor, executing sample-level randomization sorting, carrying out global normalization processing, carrying out one-hot coding on a category label, and dividing a preprocessed data set into a training set, a verification set and a test set; a double-flow neural network architecture is constructed, and data is split into two independent channels such as a training sequence and a data symbol sequence through a double-flow separation module. According to the invention, through signal preprocessing, double-flow neural network architecture design and an optimized training strategy, key problems in an existing bionic covert communication system are effectively solved, and bionic signal demodulation with low bit error rate, low delay and high real-time performance is expected to be realized under a complex underwater acoustic channel condition; and a new thought and technical support are provided for the development of a bionic covert communication system.

The invention provides a covert channel communication flow identification method. The method comprises the following steps: acquiring a covert communication flow sample set; extracting data features and converting the data features to obtain data feature values, vectorizing the data feature values to obtain feature vector representation, extracting time sequence features of the covert communication flow sample set, identifying interaction mode features of the covert communication flow sample set, and fusing the interaction mode features to generate context feature vectors; splicing the context feature vector and the feature vector representation to obtain an enhanced feature vector; performing label distribution according to the communication behavior type of the covert communication flow to obtain a condition label; constructing a multi-head generator and a multi-head discriminator; training is carried out according to a set loss function to obtain a trained generator and a discriminator, a dynamic weight adjustment mechanism is set, and the discriminator is used for judging whether the flow data to be recognized is the real covert communication flow or not. By applying the method, the diversity, the accuracy and the calculation efficiency of covert communication flow detection are improved, and the method has obvious advantages.

A hidden secure transmission optimization method, system and device for an unmanned aerial vehicle network in a ground node interference cooperation scene, and a medium, the method comprising: constructing a system model of an unmanned aerial vehicle line-of-sight link, and deducing a concealment requirement under a binary detection method; constructing a target function for maximizing the average security covert communication throughput from the starting point to the end point under the constraint conditions of covert, security and the like; the optimization problem is converted into a single-agent Markov decision process, and the state, the action, the reward, the transition probability and the discount coefficient are converted; constructing an algorithm based on a double-delay depth deterministic strategy gradient to realize an optimal decision, and further realizing optimization solution of a target function; the system, the device and the medium are applied to a ground node interference cooperation unmanned aerial vehicle scene. According to the method, higher average security hidden throughput is realized in a ground node interference cooperation unmanned aerial vehicle network scene, and meanwhile, the training speed is higher; in addition, the optimal solution is a strategy solution, the power track strategy of the unmanned aerial vehicle can be conveniently set, and the method is more suitable for the dynamic complex environment.

The embodiment of the invention relates to the technical field of communication, in particular to a beam forming and horizontal trajectory joint optimization method in unmanned aerial vehicle covert communication, and the method comprises the steps: constructing a beam forming and horizontal trajectory joint optimization problem in unmanned aerial vehicle covert communication based on a communication-interference integrated signal; based on the joint optimization problem, fixing the horizontal trajectory of the unmanned aerial vehicle to optimize the beam forming of the unmanned aerial vehicle transmitted signal, and obtaining an optimization sub-problem of the beam forming of the unmanned aerial vehicle transmitted signal; based on a joint optimization problem and beam forming of a fixed unmanned aerial vehicle transmitting signal, optimizing the horizontal trajectory of the unmanned aerial vehicle to obtain an optimization sub-problem of the horizontal trajectory of the unmanned aerial vehicle; alternative optimization is carried out based on the two optimization sub-problems, and joint optimization of beam forming and horizontal trajectory of covert communication of the unmanned aerial vehicle in the non-ground network is achieved. According to the method, the communication transmission process and the communication information content can be protected at the same time, the maximization of the overall performance is realized, and the method has very high universality and universality.