279 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 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 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 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 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 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.

The invention discloses a multi-position monitor-oriented covert communication method, system and device based on beam forming and a medium, and the method comprises the steps: building an active and passive beam forming overall optimization problem with the maximization of a covert communication rate as a target under a multi-constraint condition; the passive beamforming at the fixed IRS optimizes the active beamforming at the Alice; the active beam forming at the fixed Alice optimizes the passive beam forming at the IRS; beam forming in the three different covert communication scenes is optimized respectively; the system, the equipment and the medium realize the beamforming-based covert communication oriented to the multi-position monitor according to the method. The method can be used for realizing covert communication for covert communication tasks of multi-position monitors based on beam forming. The three covert communication schemes are high in effectiveness, and the covert communication performance of the three covert communication schemes is superior to that of respective reference schemes; the method provided by the invention has better effectiveness and wider universality.

The invention relates to the technical field of low-power wide area network communication and information hiding, and discloses a LoRa-based covert communication method, which comprises the following steps of: at a transmitting end, generating a key-driven perturbation sequence according to covert information to be transmitted, constraining perturbation parameters through an undetectable controller, and transmitting the perturbation sequence to a receiving end; performing symbol-level perturbation modulation on the linear frequency modulation slope of the LoRa signal, and embedding a low-speed synchronous beacon in a preamble symbol counting tolerance range; at a receiving end, conventional data is demodulated through a standard LoRa receiving process, a frequency offset residual error, a phase residual error and a symbol fitting error after de-spreading are extracted in parallel, related detection is carried out by using a key consistent with a sending end, and hidden information is extracted from a residual error domain; the undetectability controller dynamically adjusts perturbation magnitude and embedding density based on a distribution difference metric. The objective of the invention is to solve the problem that communication reliability and hidden undetectability are difficult to guarantee at the same time in a LoRa system.

The invention relates to the technical field of covert communication, in particular to a bionic covert communication method based on multi-sea-area dolphin voiceprint feature library matching, which comprises the following steps of: constructing a dynamic voiceprint feature library associated with sea area coordinates, dolphin species and voiceprints, and adjusting acoustic parameters in combination with real-time environment monitoring; communication information is encoded in a natural variation range of acoustic characteristics of the dolphin, bionic signals highly conforming to the sound scene of a target sea area are synthesized and emitted, low-recognizable and low-monitorable hidden data transmission between underwater equipment is achieved, meanwhile, false alarm of a marine mammal protection system is avoided, and the safety communication requirement of equipment such as an unmanned underwater vehicle is met.

The invention provides a covert communication processing method and device of an unmanned aerial vehicle, equipment and a storage medium. The method comprises the steps of obtaining a communication object of covert communication of the unmanned aerial vehicle; establishing an unmanned aerial vehicle covert communication scene according to the communication object; determining an unmanned aerial vehicle covert communication channel model according to the unmanned aerial vehicle covert communication scene; establishing a concealment constraint model according to the unmanned aerial vehicle concealed communication channel model; according to the unmanned aerial vehicle covert communication channel model and the concealment constraint model, taking maximization of the minimum user communication demand satisfaction rate as a target to construct a joint optimization problem; wherein the joint optimization problem comprises beam forming, trajectory planning and antenna position; according to the joint optimization problem, determining a target unmanned aerial vehicle trajectory, a target beam assignment vector and a target antenna position for the communication object; the effect of improving the covert communication transmission capability is achieved.

The invention discloses a signal depth detection method, a signal depth detection device, signal depth detection equipment and a medium for a low interception waveform, and relates to the technical field of signal identification. According to the method, the covert communication signal can be effectively detected without using signal energy and periodic characteristics, so that the use of the signal energy and the periodic characteristics of the frequency domain is avoided, and the covert communication signal of variable parameter spread frequency hopping can be effectively detected under the condition of low signal-to-noise ratio.

The invention discloses a covert communication method and system assisted by a movable antenna in a communication-inductance integrated network, and the system comprises an ISAC base station which is provided with Nt movable transmitting antennas and Nr fixed receiving antenna arrays; k communication nodes, each of which is configured with a single antenna and is used for receiving a communication signal sent by the ISAC base station; the point-like sensing nodes are used for receiving the sensing signals sent by the ISAC base station; the eavesdropping node is provided with a single antenna and is used for trying to detect a signal sent by the ISAC base station; according to the invention, the movable antenna array is deployed in the covert communication system, so that the space coverage limitation of a traditional fixed antenna system can be broken through, and the wide-area coverage and deep penetration capabilities of communication services can be improved. The mobile antenna array network significantly enhances the transmission efficiency and link robustness of covert communication through multi-dimensional degree-of-freedom cooperative regulation and control such as precoding vector optimization, three-dimensional space position dynamic configuration and the like.

The embodiment of the invention provides a steerable antenna-based covert communication system transmission rate enhancement method and related equipment, and belongs to the technical field of wireless communication. The method comprises the following steps: introducing an antenna pointing vector and a deflection angle pair to represent the three-dimensional direction of a single steerable antenna, establishing a channel model related to the antenna deflection angle pair, and deducing a hidden rate expression of a legal user; deducing a hidden constraint condition expression of the illegal user side by using the channel model; according to the concealment rate expression and the concealment constraint condition expression, constructing a joint optimization problem taking maximization of the concealment rate of the legal user as a target and taking concealment constraint, transmitting power constraint and antenna steering angle constraint as conditions; and solving the joint optimization problem to obtain an optimized transmitting beam forming vector and a deflection angle pair of the steerable antenna. The antenna orientation is dynamically adjusted, the spatial degree of freedom is fully excavated, and the transmission rate of the system can be remarkably improved on the premise of strictly ensuring the communication concealment.

This application discloses an intelligent reflective surface and a covert communication system, belonging to the field of wireless communication technology. The intelligent reflective surface includes multiple intelligent reflective surface units arranged in an array; each intelligent reflective surface unit includes: a first substrate, a second substrate, and a third substrate; a metal patch and a varactor diode, located on the side of the third substrate opposite to the second substrate; the metal patch includes a first patch and a second patch, and the varactor diode is located between the first patch and the second patch, with its negative and positive terminals electrically connected to the first patch and the second patch, respectively; a metal ground plane, located between the first substrate and the second substrate; a first bias line and a second bias line, located on the side of the first substrate opposite to the second substrate; the first bias line is electrically connected to the metal ground plane and the first patch, respectively, and the second bias line is electrically connected to the second patch. This application can achieve precise control of electromagnetic waves, reduce electromagnetic energy loss, improve energy transmission efficiency, suppress electromagnetic wave leakage, and improve communication covertness.

The embodiment of the invention discloses a transform domain covert communication method based on an intelligent reflecting surface, and relates to the technical field of safety communication. According to the method, the legal channel and the eavesdropping channel of the multi-participation weight fractional Fourier are reconstructed by optimizing the phase of the intelligent reflecting surface, so that the secrecy rate is maximized. Moreover, by taking a constellation diagram fuzzy error and a rotation error detected by an eavesdropping end as optimization targets, the error between a multi-participation weight score Fourier camouflaged constellation diagram reaching the eavesdropping end and an existing signal constellation diagram in the environment is minimum through alternate optimization of multi-participation weight score Fourier and intelligent reflecting surface control parameters, so that the accuracy of the constellation diagram is improved. Therefore, the camouflage effect is improved. Compared with the condition that the intelligent reflecting surface is not used, the secrecy rate of the communication system can be remarkably improved; and meanwhile, the bit error rate performance of a legal receiving end is improved, and the bit error rate performance of a malicious eavesdropping end is deteriorated. Therefore, the effects that the legal link performance can be guaranteed and the eavesdropping end is interfered are achieved.

The embodiment of the invention provides a signal transmission method and device of a movable antenna array and electronic equipment, and belongs to the technical field of antenna communication. The method comprises the following steps: determining a plurality of monitoring parties and at least two target receiving ends; one target receiving end is in a near-field communication scene, and the other target receiving end is in a far-field communication scene; constructing a communication model based on the movable antenna array, the plurality of monitoring parties and the target receiving end; performing reachable rate analysis and concealment analysis based on the communication model to obtain reachable rate related data and concealment related data, and then constructing a target optimization problem; the position of each movable sub-array of the movable antenna array is adjusted, power distribution of the movable antenna array is adjusted, a target optimization problem is processed, target optimization information is obtained, and therefore signal transmission operation of the movable antenna array is adjusted. According to the embodiment of the invention, joint optimization of the covert communication rate and the concealment can be realized under the condition of a mixed field domain channel.