A method for secure transmission of wireless communication

Abstract

The application discloses a wireless communication security transmission method, and belongs to the field of wireless communication security. The method comprises the following steps: an information sender encodes information to be sent to each legal receiver into a code word on a fine lattice by using a nested lattice code, wherein a secret message and an auxiliary message are generated for each information, the auxiliary message is a lattice point randomly selected from a coarse lattice, and the secret message is formed by mapping a mapping function to a coset of the coarse lattice; a precoding technology is used to isolate the information to be sent to each legal receiver, and a final sending signal is generated; and a legal receiver decodes the received signal to obtain the message to be sent by the information sender. The method uses a nested lattice code encoding scheme to minimize the information leakage rate of an eavesdropper, so that strong security of a communication system is achieved. Meanwhile, the secret message transmission between legal channels is realized by using a multi-user precoding technology, and the data security transmission between each point in a communication network is realized.

Description

Technical Field

[0001] This invention belongs to the field of wireless communication security, and in particular relates to a secure wireless communication transmission method. Background Technology

[0002] With the rapid development of the Internet of Things (IoT), interconnected technologies are being applied across various fields, generating significant economic benefits. However, as information interacts between things and between people and things, network information security is becoming an increasingly prominent issue. As new industries such as industrial internet, large-scale agriculture, autonomous driving, and vehicle-to-everything (V2X) emerge, the number of connected communication devices is increasing, and the amount of data generated is also growing rapidly. While meeting users' daily needs, this also brings more privacy and security threats to data transmission over communication networks.

[0003] Traditional high-level key encryption technologies rely on computational advantages, but the advent of quantum computers has severely challenged these advantages, necessitating the support of underlying secure transmission technologies. Physical Layer (PHY) security technology, based on information theory, utilizes various encoding techniques to achieve secure transmission of private data within communication networks, providing a new approach to ensuring user data security.

[0004] Initial research on physical layer security only considered the scenario where additional independent eavesdroppers could steal private information within the channel model, establishing a weak security concept for the eavesdropping channel. With the advent of 6G, the coverage and network heterogeneity have increased significantly, potentially making 6G security and privacy worse than previous generations. Therefore, it is necessary to consider communication security under strong security, rather than limiting ourselves to weak security implementations. Furthermore, the legitimate receiver of the eavesdropping channel should not be limited to a single entity; in complex wireless multipoint networks, there are also cases where a legitimate receiver can also be an eavesdropper. Summary of the Invention

[0005] In response to the significant increase in signal coverage and network heterogeneity in the current network communication environment, and the presence of multiple eavesdroppers, weak security is insufficient to meet the requirements, necessitating the consideration of communication security under strong security. This invention provides a secure wireless communication transmission method that uses a nested lattice coding scheme to minimize the information leakage rate of eavesdroppers to achieve strong security of the communication system. It also uses multi-user precoding technology to achieve secure message transmission between legitimate channels, thereby realizing secure data transmission between various points in the communication network.

[0006] The present invention provides a secure wireless communication transmission method, comprising the following steps:

[0007] Step 1: The sender encodes the information to each legitimate recipient into codewords on a fine grid Λ using nested grid codes;

[0008] The nested grid includes coarse grid Λ e And the fine grid Λ, the message sender randomly selects from the coarse grid Λ for each legitimate recipient's message. e A grid point is selected as an auxiliary message to mislead eavesdroppers. The message to be sent is mapped to a coarse grid Λ using a mapping function f. e A confidential message is formed on the co-set, and the codeword on the fine grid Λ to be sent is composed of the auxiliary message and the confidential message;

[0009] Step 2: The information sender obtains the channel state information between itself and the legitimate receivers, uses zero-forcing precoding to generate a precoding matrix to precode the transmitted signal, isolates the signals between multiple legitimate receivers, generates the final transmitted signal, and achieves secure message transmission.

[0010] Step 3: The legitimate receiver decodes the received signal to obtain the message that the sender wants to send;

[0011] First, the signal is quantized into the nearest grid point λ on the fine grid Λ. Λ Then for λ Λ With Λ e Perform a modulo operation, and then perform an inverse mapping function on the obtained estimated value to obtain the estimated message that the sender wants to send.

[0012] Compared with existing technologies, the advantages of the present invention are as follows: The present invention utilizes the inherent randomness of the wireless communication channel transmission medium and the difference between the legitimate channel and the eavesdropping channel, and uses a nested lattice coding scheme to minimize the information leakage rate of the eavesdropper to achieve strong confidentiality and security of the communication system. At the same time, it uses multi-user precoding technology to realize the transmission of confidential messages between legitimate channels, thereby realizing secure data transmission between points in the communication network. Attached Figure Description

[0013] Figure 1 This is a flowchart illustrating the secure wireless communication transmission method of the present invention;

[0014] Figure 2 This is a schematic diagram of an application scenario architecture for the secure wireless communication transmission method of the present invention;

[0015] Figure 3 This is a schematic diagram of the encoding process at the transmitting end of the wireless communication system according to the present invention;

[0016] Figure 4 The coarse grid Λ in the nested grid encoding of this invention e A diagram illustrating the relationship between the Λ and the fine grid;

[0017] Figure 5 This is a schematic diagram of the decoding process at the receiving end of the wireless communication system according to the present invention. Detailed Implementation

[0018] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0019] This invention provides a secure wireless communication transmission method that uses nested lattice code encoding for transmitted information, and then uses multi-user precoding technology to achieve secure message transmission between legitimate channels. This invention can minimize the information leakage rate of eavesdroppers and achieve secure data transmission between points in the communication network.

[0020] like Figure 1 As shown, the secure wireless communication transmission method of the present invention is described in the following four steps.

[0021] Step 1: In a communication network, the sender must fully utilize the characteristics of the wireless communication channel to encode confidential information, even under real-time eavesdropping. Simultaneously, they must ensure reliable message decoding for legitimate receivers and minimize the amount of information the eavesdropper obtains. Both the sender and legitimate receivers possess channel state information, and considering worst-case scenarios, the eavesdropper has not only their own channel state information but also that of the legitimate receivers. Configuring multiple antennas for both communicating parties can improve the diversity gain and reliability of network communication encoding and transmission.

[0022] like Figure 2 As shown, the information sender will send information M1, M2, ... M n After being encoded by the encoder to form a signal X, it is sent out, thus obtaining the channel matrix H from the information sender to each legitimate receiver i. i , i = 1, 2, ... n; Each legitimate receiver decodes the received signal using a decoder to obtain the information.

[0023] Step 2: The sender needs to send the message M. i The data is encoded using nested lattice codes into lattice point X on the final cell Λ to be sent. i That is, each message This needs to be mapped to the output signal, where n is the code length, k is the lattice dimension, and R is the information transmission rate. This is the set of the number of messages that can be sent. For example... Figure 3 As shown, the sender randomly selects a coarse cell Λ from the nested grid. e A grid point is selected as an auxiliary message to mislead eavesdroppers in the communication system. The actual message that needs to be transmitted confidentially is mapped to a coarse grid Λ through a mapping function f. e On the co-set, the joint auxiliary message and the confidential message constitute the signal X to be sent. iTo ensure the confidentiality of messages among legitimate recipients, multi-user precoding technology is also needed to isolate signals to be sent to multiple legitimate recipients.

[0024] The sender needs to perform a nested lattice encoding operation, which includes a thick lattice Λ. e And a thin lattice Λ, and the two lattices satisfy the following relationship: like Figure 4 As shown, the solid black dots represent the grid points on the fine grid Λ, and the black dots with circles represent the coarse grid Λ. e The grid consists of dots, each dot corresponding to a codeword. The sender randomly selects a codeword from the coarse grid Λ. e A grid point λ is selected as an auxiliary message to confuse eavesdroppers in the communication system, thereby achieving strong system security. Then, the message M that needs to be transmitted securely... i Through encoding mapping function Mapped to coarse grid Λ e coset vector λ m ,Λ / Λ e Represents Λ e The coset, then composed of auxiliary message λ and secret message λ m This constitutes the codeword X to be sent. i =λ+λ m In this embodiment of the invention, the sender needs to send information to n legitimate recipients, i = 1, 2, ... n.

[0025] In addition, to ensure that messages between legitimate receivers cannot be eavesdropped, multi-user precoding technology is also needed to isolate the signal X to be sent to multiple legitimate receivers. i The final transmitted signal X generated by the sender is expressed by the following formula:

[0026]

[0027] Where W = [W1W2…W n ] represents the precoding matrix, where n corresponds to n valid receivers and also to the code length of X.

[0028] The signal Y received at the legitimate receiver i i Represented as:

[0029]

[0030] Among them, H i Let N represent the channel matrix from the sender to the legitimate receiver i. i It is the noise at the legitimate receiver i.

[0031] Step 3: After encoding the message, the sender transmits the signal via an antenna. The signal travels through the channel and, due to noise, may deviate from the original transmission grid. Therefore, the legitimate receiver needs to perform signal detection on the received signal. In a communication system, the legitimate message receiver needs to recover the message the sender intended to send from the received signal observations.

[0032] A legitimate receiver needs to recover an estimate of the signal the sender intended to transmit from the received signal observations, and must ensure that the legitimate receiver cannot receive signals from other receivers. For example, if the information sender uses zero-forcing (ZF) precoding to design the precoding matrix, then the corresponding precoding matrix satisfies W = [W1W2…W…]. n ]=βH * (H * H) -1 This ensures that only the legitimate receiver i can receive signal X. i If the signal is not received from the other (n-1) users, then the received signal received by the legitimate receiver i is... as follows:

[0033]

[0034] in n t The number of antennas provided to the transmitter; trace refers to finding the trace of a matrix; the total channel matrix H = [H1H2…H2]. n The superscript * denotes the conjugate transpose, and the superscript -1 denotes the inverse matrix. Under high signal-to-noise ratio conditions, secure communication between nodes in a network can be achieved.

[0035] Step 4: In order to achieve reliable communication, the legitimate receiver needs to obtain an estimate of the transmitted signal. Decode the confidential message M that the sender wants to send. i .like Figure 5 As shown, the legitimate receiver's estimate of the transmitted signal. Quantization of fine grid Bundle Quantization is defined as the nearest lattice point on the smaller lattice Λ.

[0036]

[0037] Where ||·|| denotes the Euclidean norm, and λ Λ This represents a grid point on the fine grid Λ.

[0038] After quantification, the result is The nearest lattice point λ on the fine lattice Λ Λ Then for λ Λ Perform modulo operation modΛe It can obtain an estimate of the transmitted signal under a certain error probability. Right now:

[0039]

[0040] The obtained estimates are then inversely mapped using the encoding mapping function. You can get confidential information Right now:

[0041]

[0042] in This represents the information sent by the sender that is estimated by the legitimate receiver i.

[0043] Except for the technical features described in the specification, all other technologies are known to those skilled in the art. Descriptions of well-known components and technologies are omitted in this invention to avoid redundancy and unnecessary limitation. The embodiments described above do not represent all embodiments consistent with this application. Various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of this invention are still within the protection scope of this invention.

Claims

1. A secure wireless communication transmission method, characterized in that, Includes the following steps: Step 1: The sender encodes the information to each legitimate recipient into codewords on a fine grid Λ using nested grid codes; The nested grid includes coarse grid Λ e And the fine grid Λ, the message sender randomly selects from the coarse grid Λ for each legitimate recipient's message. e A grid point is selected as an auxiliary message to mislead eavesdroppers. The message to be sent is mapped to a coarse grid Λ using a mapping function f. e A confidential message is formed on the co-set, and the codeword on the fine grid Λ to be sent is composed of the auxiliary message and the confidential message; Step 2: The information sender obtains the channel state information between itself and the legitimate receivers, uses zero-forcing precoding to generate a precoding matrix to precode the transmitted signal, isolates the signals between multiple legitimate receivers, and generates the final transmitted signal. Step 3: The legitimate receiver decodes the received signal to obtain the message that the sender wants to send; First, the signal is quantized into the nearest grid point λ on the fine grid Λ. Λ Then for λ Λ With Λ e Perform a modulo operation, and then perform an inverse mapping function on the obtained estimated value to obtain the estimated message that the sender wants to send.

2. The method according to claim 1, characterized in that, In step 1, let M be the information sent by the sender to the legitimate receiver i. i Regarding this information, from the coarse grid Λ e A grid point λ is randomly selected as the auxiliary message, and then M is mapped using the mapping function f. i Encoding mapped to coarse grid Λ e coset vector λ m Then the codeword X to be sent is obtained. i =λ+λ m .

3. The method according to claim 2, characterized in that, In step 2, assuming the sender wants to send information to n legitimate receivers, the codeword X on the fine grid Λ to be sent to each legitimate receiver is first obtained by nested lattice encoding. i Let i = 1, 2, ..., n, where n is a positive integer; and let H be the channel matrix H between the information sender and n legitimate receivers. i For i = 1, 2, ..., n, design a zero-forcing precoding matrix W = βH * (H * H) -1 * denotes conjugate transpose, -1 denotes inverse matrix, H = [H1H2…H n ]; The signal received by the legitimate receiver i is Among them, parameters n t The number of antennas provided for the information sender; trace represents finding the trace of a matrix; N i It is the noise at the legitimate receiver i.

4. The method according to claim 1 or 3, characterized in that, In step 3, let the signal received by the legitimate receiver i be... First, perform fine-grid Λ quantization to obtain... The nearest lattice point λ on the fine lattice Λ Λ , means as follows: Where ||·|| represents the Euclidean norm; Then, for λ Λ Perform modulo operation modΛ e This yields an estimate of the transmitted signal. Then compare the estimated values Perform the inverse mapping of the mapping function f -1 The estimated message that the sender is going to send has been obtained.

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