407 results about "Eavesdropping" patented technology

The invention relates to a reinforcement learning-based waveform generation method and system for an intelligent reflector-assisted safety sensing integrated system. The method comprises the following steps of: 1, constructing the intelligent reflector-assisted safety sensing integrated system ISAC; 2, constructing an optimization problem; according to known channel state information, obtaining an expression of a signal received by the LU and an expression of a signal received by the BS reflected by the target object, then obtaining a signal to interference plus noise ratio or a signal to noise ratio of the two, and writing an eavesdropping signal to interference plus noise ratio of an eavesdropper target relative to the LU; finally, an objective function and constraint conditions of the optimization problem are established, and optimization parameters are determined at the same time; and step 3, introducing an RL to solve an objective function of an optimization problem, and generating a waveform. According to the waveform design method, the node calculation complexity can be greatly reduced, the system performance is improved, and the performance compromise between communication and sensing is realized.

The invention discloses an information encryption method for wireless electronic countermeasure, and relates to the technical field of wireless transmission. According to the method, the wireless channel state is monitored in real time, the channel quality evaluation model is established, and the adaptive frequency adjustment algorithm and the cognitive radio technology are combined, so that whether the channel meets the communication quality requirement or not can be accurately judged, the influence of interference and attack on communication is effectively avoided, the continuity and stability of the communication process are ensured, and the communication quality is improved. The adaptability and the reliability of a communication system in a complex electromagnetic environment are remarkably improved, the quantum key is generated based on an encryption communication protocol of quantum key distribution, extremely high security of the key is ensured, communication data are difficult to crack in the encryption transmission process, security threats such as eavesdropping and tampering are effectively resisted, and the security of the communication system is improved. And through a secret key pre-distribution mechanism and a secret key updating process, the insufficient secret key distribution rate and the potential security risk are dealt with, the security of communication is further enhanced, and the confidentiality and integrity of information transmission are ensured.

The invention relates to the technical field of network security, in particular to a cloud data secure transmission system and method based on a quantum encryption technology. Comprising a quantum key generation and management unit used for generating a physical layer security key, realizing key true random generation through a quantum state unclonable principle, and optimizing key negotiation efficiency by adopting an improved adaptive basis vector matching algorithm; a data transmission encryption unit; a physical layer safety monitoring unit; and a channel fusion switching unit. According to the method, the physical layer security key is generated based on the quantum state unclonable principle, the dependency limitation of a traditional encryption algorithm on mathematics is broken through, and the cracking risk of quantum computing on bottom layer encryption logic can be reduced; according to the invention, photon polarization state parameters are collected in real time through the physical layer security monitoring unit, the eavesdropping behavior is detected based on the preset error rate threshold, real-time perception of the eavesdropping behavior in a transmission link is realized, and the defect that the security state of the physical layer cannot be perceived in real time in a traditional scheme is overcome.

Systems and methods for performing ZTNA secure traffic forwarding are provided. In one example, as part of setting up a TFAP tunnel, between a target service and an endpoint security agent of an endpoint device through which an application running on the endpoint device can interact with the target service, a secure connection is established between the endpoint security agent and a ZTNA AP. Based on an encryption status of traffic transmitted from the application to the target service: (i) protection against eavesdropping by an MITM attacker is provided by using the secure connection to encrypt one or more critical messages of the traffic between the endpoint security agent and the ZTNA AP; and (ii) the endpoint security agent abstains from switching to bypassing mode through the TFAP tunnel until after the one or more critical messages of the traffic have been exchanged.

The present technology pertains to systems and methods for one-way authentication of quantum channels. A transmitter generates an entangled quantum state comprising a first state and a second state, modulates the second state according to a clock-synchronized pattern, and transmits it through a quantum channel to a receiver. The first state is retained and measured at the transmitter to extract quantum-state information. Authentication is performed based on this information, without requiring feedback from the receiver. The quantum-state information may be derived using quadrature measurements, Gaussian tomography, or other statistical analyses to detect whether the second state underwent irreversible interactions such as eavesdropping or decoherence. The system enables secure unidirectional quantum authentication, reduces protocol complexity, and supports real-time anomaly detection. It is compatible with continuous-variable quantum states, quantum key distribution (QKD), and scalable communication architectures.

The invention relates to the field of hardware encryption, and discloses a geological disaster monitoring scene-based low-power-consumption hardware encryption system, which comprises a layered architecture module for constructing a terminal sensing layer and a cloud platform layer, generating a three-dimensional risk thermodynamic diagram, and carrying out short-term early warning model and emergency deduction; the encryption and decryption module is used for carrying out multi-dimensional identity verification based on protocol layering and national secret algorithm fusion, carrying out dynamic management and eavesdropping monitoring on a secret key, optimizing a data processing flow, and establishing a secure channel to dynamically negotiate whether encryption or decryption is needed; the key management module is used for implementing a triple binding mechanism, carrying out processing and risk assessment on the monitoring data, and carrying out key backup and recovery by adopting a dynamic key period according to a generated risk level; and the safety protection module is used for performing intelligent management on the power consumption of the system based on the active state of the system, selecting a compression strategy according to the data type by adopting a dynamic compression algorithm, performing safety monitoring on hardware and firmware, performing intrusion monitoring on the system and performing automatic repair.

Disclosed in the present invention is a secrecy rate optimization method for a simultaneous wireless information and power transfer system. The method comprises: constructing a simultaneous wireless information and power transfer system, which includes an intelligent reflecting surface apparatus, an access point, a plurality of legitimate users and a plurality of eavesdroppers, wherein the intelligent reflecting surface apparatus is provided with a plurality of reflecting elements, and adding artificial noise to an information signal transmitted by the access point; for the simultaneous wireless information and power transfer system, establishing a secrecy rate optimization problem, and in the secrecy rate optimization problem, taking interference between the users into consideration and describing channel state information of the eavesdroppers; and for the secrecy rate optimization problem, jointly optimizing a power splitting ratio, transmission beamforming, a covariance matrix for the artificial noise, and a phase shift matrix for the intelligent reflecting surface apparatus, wherein the power splitting ratio is used for limiting a legitimate user to splitting a power into an information decoding part and an energy harvesting part. The present invention is more applicable to an actual communication scenario, reduces the eavesdropping rate, and thus increases the overall rate of a system.

The invention discloses an interference-assisted resource optimization method for an asynchronous federated learning system, and the method comprises the steps: constructing a dynamic model, about time delay and energy consumption, of the asynchronous federated learning system in a first arrival first arrival mode; a two-step algorithm which is deployed on a base station carrying an edge server and combines a depth deterministic strategy gradient and a Transformer network is utilized to make a resource allocation decision comprising an uplink and downlink terminal equipment scheduling strategy and CPU frequency, sending power and interference power of terminal equipment aiming at state information collected in a current environment during each global model aggregation; and the eavesdropping attack is resisted by enabling the downlink data transmission rate to be greater than a given secrecy rate by using an interference-assisted technology. Aiming at a first arrival first arrival mode, namely an asynchronous federated learning process that a local model of a first arrival server is selected to participate in aggregation, dynamic modeling about time delay and energy consumption in an actual wireless communication scene is analyzed, and a two-step resource allocation strategy and an interference assistance technology based on DDPG are adopted; and the time delay and the energy consumption required by asynchronous federated learning are minimized on the basis of ensuring the security of a physical layer.

A method, computer system, and computer program product are provided for performing automated eavesdropping detection and remediation. A distance between a first and second wireless client device is determined with reference to a wireless access point based on wireless signals transmitted by the devices. A first and second signal loss are determined with reference to the first and second wireless client devices and the wireless access point. Material properties for any physical structures between the first and second wireless client devices are derived based on the signal losses. A sound attenuation is determined between the first and second wireless client devices based on the material properties. It is determined whether a first user of the first wireless client device can hear audio of a second user of the second wireless client device based on the sound attenuation determined between the first wireless client device and the second wireless client device.

The invention discloses a radio frequency fingerprint identification method and system based on a double-path cross attention fusion network, and is suitable for an application scene under a low signal-to-noise ratio condition. In an Internet of Things system, prevention of security threats such as illegal monitoring, data tampering and equipment pretending is a basis for guaranteeing user communication security. The radio frequency fingerprint identification technology based on physical layer feature authentication is generated at the right time, has the characteristics of passive authentication, no need of a secret key and the like, and is widely used for enhancing the identity authentication capability of a wireless network. However, in the prior art, the recognition performance is limited in a low signal-to-noise ratio environment, so that how to improve the recognition accuracy in the scene becomes a key problem to be broken through urgently. According to the radio frequency fingerprint identification method based on feature fusion provided by the invention, the one-dimensional radio frequency signal and the two-dimensional time-frequency graph are subjected to multi-modal fusion through the double-path cross attention fusion network, and useful complementary features are further extracted from noise, so that the influence of the noise is reduced, and the identification accuracy of unknown equipment is improved.

The invention provides a method for assisting a movable antenna to realize secure communication by STAR-RIS, and relates to the technical field of wireless communication. According to the method, the safety and the rate of the system are maximized by jointly optimizing the beam forming of the base station, the position of the movable antenna and the STAR-RIS coefficient matrix. The method specifically comprises the following steps: constructing a downlink MIMO system and establishing a joint optimization problem; decomposing the joint optimization problem into three sub-problems by adopting an alternate optimization framework; respectively utilizing a particle swarm optimization algorithm and a weighted minimum mean square error method to be combined with a Majoritization-Minimalization algorithm to solve each sub-problem, and respectively utilizing the particle swarm optimization algorithm and the weighted minimum mean square error method to be combined with the Majoritization-Minimalization algorithm to solve each sub-problem; and alternately executing related steps until system security and rate convergence to obtain a solution of the joint optimization problem. By the adoption of the method, the safety communication performance of the system is remarkably improved, full-space coverage and precise beam regulation are achieved, the algorithm convergence is high, the solving efficiency is high, and the method is suitable for a downlink system with multiple users and multiple eavesdropping nodes.

The invention discloses a vehicle formation driving control method for preventing eavesdropping attacks, and belongs to the technical field of vehicle networking safety. In a formation vehicle wireless transmission process, a designed fuzzy vector is introduced, state privacy is effectively protected, and a formation control task is completed at the same time. Comprising the following steps: determining a leading vehicle and a following vehicle, and further determining a network topology; the leading vehicle randomly generates a fuzzy vector meeting a condition, and transmits a false state to the following vehicle according to a formation control communication protocol; the following vehicle designs a noise vector, receives a fuzzy vector transmitted by the leading vehicle, and transmits a false state of the following vehicle according to a designed formation control communication protocol when the following vehicle communicates with front and back adjacent vehicles; and constructing a second-order dynamic model of the leading vehicle and the following vehicle, designing control input based on a formation control communication protocol, and completing formation control. The method has the advantages of being easy and convenient to operate, low in calculation complexity and high in real-time performance.

The invention provides a physical layer secure antenna selection method based on an MIMO-NOMA system, and relates to the technical field of information security. According to the method, a downlink MIMO-NOMA communication system is established, two kinds of safety antenna selection strategies are designed, the received signal power of legal users is maximized, and the signal power of eavesdropping user receivers is minimized; and the unmanned aerial vehicle transmits the superposed signal, the user receives the signal and decodes the received signal, then the traversal rate of the legal user is solved, and the probability of successfully decoding the transmission information is reduced for the potential eavesdropping user. According to the method, the antenna selection strategy is optimized, the received signal power between the source node and the legal user is maximized, the probability that the eavesdropping user successfully decodes the legal signal is reduced, and the secrecy performance of the system can be improved while the service quality of the legal user is ensured.

The invention discloses a security perception and communication optimization method based on ISAC-IRS, and aims to improve communication security and perception performance and confront a communication eavesdropper and a perception eavesdropper, the method establishes a system model comprising a base station, an IRS, multiple users, a target, a perception eavesdropper and a perception receiver, and comprehensively considers communication and perception performance indexes, so as to improve the communication security and perception performance. By optimizing a correlation matrix of a communication beam forming matrix, a covariance matrix of a special radar signal and a phase shift matrix of an IRS, the detection probability of a sensing receiver to a target is improved. By means of the positive semidefinite relaxation and alternating optimization algorithm, communication eavesdropping and sensing eavesdropping behaviors can be restrained while communication safety is guaranteed, and the detection accuracy of the sensing receiver is improved. The method has the advantages that the communication performance can be improved, communication eavesdropping and sensing eavesdropping are suppressed, and the detection probability of a sensing receiver to a target is improved.

Methods and systems for performing secure quantum key distribution (QKD) while detecting photon interception and eavesdropping. A first computing device generates a challenge set using a secret seed, applies the challenges to its CRP, and receives an ordered set n responses. Those responses are sent under a QKD protocol. The second computing device generates the same challenges and recovers the same responses with a mirror CRP mechanism. The second device identifies generated responses that match received responses. Bit errors in these matching response pairs provide a measured of BER on the channel. BER that is significantly above a nominal BER indicates eavesdropping.

The invention relates to the technical field of industrial internet-of-things safety communication, in particular to an industrial internet-of-things edge computing safety communication method based on federated learning, which comprises the following steps of: constructing a unified collaboration framework of an industrial internet-of-things system; an interference signal is sent to the eavesdropping device through the edge computing server at the interference power, so that the secure transmission rate of the communication channel is a positive value in the presence of eavesdropping; calculating the total energy consumption of the edge computing server under different task unloading strategies, wherein the total energy consumption of the edge computing server does not exceed the maximum value of energy consumption which can be borne by the industrial Internet of Things system; and constructing an unloading decision model based on federated learning, and outputting an optimal unloading decision based on the unloading decision model by taking the minimum average calculation task time delay as a target. According to the method, the unified collaboration framework of the industrial Internet of Things system is constructed, federated learning and edge computing technologies are combined, data privacy protection and communication security can be remarkably improved, and the time for averaging computing tasks is minimized under the energy consumption constraint.

The invention discloses a cooperative interference unmanned aerial vehicle auxiliary communication method and system for a disaster area wireless network, and the method comprises the steps: respectively defining unmanned aerial vehicles as relay unmanned aerial vehicles and cooperative interference unmanned aerial vehicles through introducing a role distribution mechanism of the unmanned aerial vehicles; the relay unmanned aerial vehicle is responsible for enhancing a communication link between the ground base station and the user; the cooperative interference unmanned aerial vehicle actively sends an interference signal to prevent illegal information acquisition of the eavesdropping unmanned aerial vehicle; the flight path of the unmanned aerial vehicle is optimized through precise modeling based on three-dimensional Cartesian coordinates and a design power distribution and flight path joint optimization method, and the unmanned aerial vehicle can reasonably adjust the position in a dynamic environment of a disaster area so as to improve channel conditions and further enhance communication reliability and safety; a Markov decision process is used for modeling a trajectory and power optimization problem of the unmanned aerial vehicle, and a multi-agent reinforcement learning algorithm is used for solving, so that the overall performance of the system and the communication security are improved, and an efficient and reliable solution is provided for emergency communication in a disaster area.

The utility model relates to the technical field of eavesdropping prevention, in particular to a terminal anti-eavesdropping device and a terminal anti-eavesdropping system. The device comprises a first connection module, an audio management module, a storage module and an access management module, and the first connection module is used for establishing communication connection with an external terminal to obtain the audio control authority of the external terminal and obtain to-be-stored data; the audio management module is connected with the access management module, and a preset audio signal is built in the audio management module and is transmitted to the access management module; the access management module is connected with the first connection module, the storage module and the audio management module, and the access management module is used for performing data transmission with the storage module, performing data transmission with an external terminal through the first connection module and transmitting a preset audio signal to the external terminal through the first connection module. On the basis of anti-eavesdropping, the system also has data storage and reading functions, and has richer functions.

As automotive security concerns are rising, the Controller Area Network (CAN)—the de facto standard of in-vehicle communication protocol—has come under scrutiny due to its lack of encryption and authentication. Several vulnerabilities, such as eavesdropping, spoofing, and replay attacks, have shown that the current implementation needs to be extended. Both academic and commercial solutions for a secure CAN have been proposed, but OEMs have not yet integrated them into their products. The main reasons for this lack of adoption are their heavy use of limited computational resources in the vehicle, increased latency that can lead to missed deadlines for safety-critical messages, as well as insufficient space available in a CAN frame to include a Message Authentication Code (MAC). By making a trade-off between security and performance, this disclosure overcomes the aforementioned problems of a secure CAN.

The invention belongs to the technical field of quantum communication, and particularly relates to a discrete variable quantum key distribution data coordination method and system based on a code rate adaptive multi-system LDPC code. Aiming at the defect of performance bottleneck of an existing discrete variable quantum key distribution system adopting a binary low-density parity check code in a long-distance and high-noise environment, the invention provides a discrete variable quantum key distribution data coordination method. The method comprises the following steps: preparing and transmitting a quantum state; screening data; error rate estimation and eavesdropping detection; data coordination based on symbol-level code rate adaptation and / or bit-level code rate adaptation; and confidentiality enhancement. According to the method disclosed by the invention, the construction and storage pressure of the system on error correction codes with different code rates is obviously reduced, the robustness of the system under a complex channel condition is enhanced, and efficient and unconditionally safe key distribution is ensured; the eavesdropping attack can be effectively resisted, and the communication security is ensured.

The invention discloses an electric power production management system security situation awareness method based on a cryptographic algorithm. According to the invention, by deeply fusing SM2, SM3, SM4 and other national cryptographic algorithms and power system characteristics, a full-link autonomous and controllable security protection system is constructed. In a data acquisition stage, SM4 encryption transmission and SM3 hash evidence storage are adopted to ensure confidentiality and integrity of data from a source to processing, and eavesdropping and tampering risks in a transmission process are effectively resisted; in a core situation assessment link, point multiplication operation of SM2 elliptic curve cryptography is innovatively introduced into a node aggregation process of a graph neural network, and graph structure mapping of physical topology of a power system is combined, so that the model can accurately capture implicit association and cascade influence between equipment, and the situation assessment accuracy is improved. At the same time, the recognition capability of the hidden attack mode is enhanced by using the nonlinear transformation of SM4, and the perception depth and anti-attack toughness of the system to the complex threats in the power production scene are improved from the bottom layer of the algorithm.

The invention discloses a spectrum resource allocation method, which comprises the following steps of: deploying a plurality of pairs of information transceivers, a passive backscatter label group and an eavesdropping user in a backscatter communication system, each passive backscattering label is equipped with an energy collection and conversion module and an information reflection module; constructing a resource allocation model meeting a reflection signal and rate maximization of secure communication; constructing a directed hypergraph based on a backscattering system and coloring the directed hypergraph; in order to solve the non-convexity problem of a resource optimization model, an auxiliary variable is introduced to remodel a resource allocation model, and eavesdropping threats are reduced from the physical level. The method provided by the invention can maximize the sum rate of the reflected signals in the system on the premise of ensuring the secure communication of each sub-channel, effectively reduces the interference among the reflected signals by dividing spectrum resources and introducing artificial noise, restrains the influence of eavesdropping users on the security of the system, and meets the requirements of the users on the quality of service.

The present invention relates to the technical field of communications. Disclosed is a two-party quantum secret magnitude comparison method based on a two-level bell state. The present invention comprises the following steps: step I: protocol participants Alice and Bob respectively possessing their own secret values SA and SB, and Alice and Bob sharing a secure n-bit key KAB=KAB1KAB2KKABn by means of QKD; and step II: Alice and Bob sharing a collision-resistant hash function Hash(.) that is resistant to quantum algorithms, and with the assistance of a semi-trusted third party (TP), Alice and Bob completing the comparison between the magnitudes of the secret values of the two. By means of the present invention, an equality relationship and magnitude relationship between the secret values of the two participants, i.e. Alice and Bob, can be effectively determined; a quantum state prepared by the TP is a two-particle maximally entangled Bell state; and by means of the first eavesdropping detection, the absence of eavesdroppers and the honesty of the TP are verified.

The embodiment of the invention provides a rail transit quantum communication system data transmission method, device and system and a medium, and relates to the technical field of data transmission. The method comprises the following steps: performing quantum key distribution through a first channel; and transmitting the train data encrypted by the quantum key through a second channel. A quantum communication dual-channel isolation architecture is adopted, namely, a first channel is specially used for quantum key distribution, a second channel is specially used for transmitting encrypted data, a key distribution characteristic of information theory security is realized by utilizing a quantum key distribution technology based on a quantum mechanics principle, key distribution and a data transmission channel are physically isolated, and the security of the key distribution is improved. The risk of secret key and data mixed leakage is avoided, so that traditional eavesdropping and quantum computing attacks are effectively resisted, the safety and integrity of train data in the transmission process are guaranteed, quantum-level safety guarantee is provided for train-ground communication, safety accidents and economic losses caused by information leakage are avoided, and the safety and reliability of train-ground communication are improved. And meanwhile, low time delay and high efficiency of the communication system are ensured.

The invention relates to a dynamic wireless key frequency hopping communication anti-interference system and a method thereof. The system comprises a transmitting end and a receiving end, the transmitting end comprises an information source scrambling module, a Turbo coding module, a spread spectrum module, a framing module, a frequency hopping pattern generation module and a forming filtering module; and the receiving end comprises a digital front-end processing module, a frequency hopping synchronization module, a signal synchronization module and a demodulation module. The frequency hopping pattern based on the chaotic system has high randomness and predictability, and tracking interference and eavesdropping are effectively resisted.

Techniques and methods are described to generate a shared secret key using channel characteristics between a transmitting device and a receiving device. A public key is transmitted to a communication device over a first wireless channel and a second wireless channel that is different from the first wireless channel. From the communication device, a first signal and a second signal both carrying the public key are received over the first wireless channel and the second wireless channel, respectively. Based on the first signal and the public key, a first channel response is calculated and, based on the second signal and the public key, a second channel response is calculated. The secret key is determined based on the first and second channel response. In this way, the generation of a channel-based shared secret key becomes more secure and robust against eavesdropping of illegitimate users, allowing for secure communication.

The invention discloses a keystroke identification method based on acoustic eavesdropping. The method comprises the following steps: S1, acquiring keystroke data; s2, performing pre-emphasis processing on the keystroke data, and removing background noise by using an adaptive spectral subtraction method to obtain a clean keystroke signal; s3, performing fast Fourier transform on the clean keystroke signal, calculating frequency spectrum energy, separating the keystroke signal into single keystroke segments, and ensuring that each segment only contains one keystroke behavior; s4, extracting spectrogram and Mel spectrogram features of each keystroke segment; s5, introducing a multi-scale channel attention module and an iterative attention feature fusion module, carrying out feature fusion on the spectrogram and Mel spectrogram features, and endowing key features with higher weights through an attention mechanism; s6, inputting the fused feature data into a convolutional neural network model for training, and using the model to classify and identify the keystroke behavior; according to the method, the accuracy and practicability of keystroke recognition are improved, and the method is more suitable for a complex acoustic environment.

The invention provides an anti-eavesdropping system and an anti-eavesdropping method for eavesdropping according to a substance vibration principle. The system comprises an anti-eavesdropping intelligent host which is arranged indoors and comprises a pickup module and a signal processing module; the pickup module is used for picking up a sound signal of an indoor target sound source; the signal processing module is connected with the pickup module and is used for processing the sound signal to generate an interference signal; and the at least one interference generator is arranged on a solid isolator for isolating the indoor space from the outdoor space, is connected with the anti-eavesdropping intelligent host, and is used for converting the interference signal into a mechanical vibration signal so as to interfere an eavesdropping device through the mechanical vibration signal. According to the environment medium vibration principle, anti-eavesdropping is effectively achieved through reverse interference of the mechanical vibration signals on the eavesdropping device, and the anti-eavesdropping device has the advantages of being independent of sites, rapid in deployment and low in cost.

The invention discloses a natural language processing system encryption method, electronic equipment and a computer readable medium. The method comprises the following steps: acquiring a character mapping relationship between an original character and an encrypted character determined based on a character encryption algorithm; according to a Token ID transformation algorithm, a Token ID mapping relation between the original Token ID and the transformed Token ID is determined; and according to the character mapping relationship and the Token ID mapping relationship, encrypting a pre-trained natural language processing system, so that the encrypted natural language processing system can output a ciphertext response based on an input ciphertext prompt word. Side channel attacks and middle eavesdropping can be resisted, the exposure risk of original data is remarkably reduced, the data security is improved, mathematical reconstruction of computational logic of the system is avoided, so that the computational overhead is remarkably reduced, the reasoning delay is reduced, the computational efficiency and the response real-time performance are improved, a natural language processing system does not need to be retrained, and the method is easy to implement. The calculation overhead is further reduced, and the encryption efficiency is improved.

The invention relates to the technical field of data security communication, in particular to an electric energy metering data security communication method based on a coding and decoding technology. According to the technical scheme, the method comprises the following steps that electric energy metering data are collected, wherein the data comprise voltage, current, power and timestamps; a unique key is generated through a dynamic key generation mechanism, the key is based on a timestamp, an equipment unique identifier and a hash value of a data abstract, features are extracted through a Transform encoder, and then the randomness is enhanced in combination with a pseudo-random number generator; and inputting the electric energy metering data and the dynamic key into an encryption encoder model. Through dynamic key generation, a Transform codec model and an adversarial training mechanism, high-security encryption and efficient decryption of electric energy metering data are realized, data tampering, eavesdropping and man-in-the-middle attack are effectively resisted, large-scale distributed application is supported, and stable operation of a power system and privacy protection of user data are ensured.