Due to the randomness of wireless channels, it is possible to achieve secure communications by designing communication systems according to the characteristics of wireless channels. In this work, a physical layer security communication mechanism based on end-to-end learning is introduced. The proposed mechanism achieves secure communications by designing the loss function of end-to-end learning. We evaluate secrecy performances of the proposed mechanism through block error rate (BLER) under three classic circumstances which different decoding models are applied by the eavesdropper. Self-training decoding model, the legitimate decoding model and unsupervised learning (K-means clustering) model are alternative for the eavesdropper. The experiments results show that K-means clustering model can get the best BLER performance for the eavesdropper with some prior information, but its BLER is still higher than 0.5. Even if the eavesdropper has a much higher than the legitimate users, there is no improvement in its BLER traditional physical layer security Es/N0. Compared to methods, the proposed mechanism can achieve secure communications without extra key extraction.
Due to the randomness of wireless channels, it is possible to achieve secure communications by designing communication systems according to the characteristics of wireless channels. In this work, a physical layer security communication mechanism based on end-to-end learning is introduced. The proposed mechanism achieves secure communications by designing the loss function of end-to-end learning. We evaluate secrecy performances of the proposed mechanism through block error rate (BLER) under three classic circumstances which different decoding models are applied by the eavesdropper. Self-training decoding model, the legitimate decoding model and unsupervised learning (K-means clustering) model are alternative for the eavesdropper. The experiments results show that K-means clustering model can get the best BLER performance for the eavesdropper with some prior information, but its BLER is still higher than 0.5. Even if the eavesdropper has a much higher than the legitimate users, there is no improvement in its BLER traditional physical layer security Es/N0. Compared to methods, the proposed mechanism can achieve secure communications without extra key extraction.
This paper introduces a novel physical layer secure communication technology based on wireless channel direct encryption to enhance the encryption strength of the information source. Unlike traditional methods of key generation based on the reciprocity of the wireless channel, which typically involve quantizing the wireless channel and then negotiating keys, resulting in two completely identical bit strings generated as encryption keys for upper-level cryptographic algorithms between legitimate communication parties, this paper's approach quantizes the quantized bits of the wireless channel characteristics of both legitimate parties and directly encrypts the information source bits by using a designed lightweight encryption/decryption algorithm. Compared to traditional approaches, this paper's method avoids the key consultation process for physical layer key distribution, expanding the scenarios for the use of physical layer keys. Moreover, it can work independently at the same time with the upper layer cryptography to enhance the encryption strength. Through experimental verification, it has been confirmed that, in cases where the channel error rate during information transmission is less than 5*10^-2, this model can achieve an average reception accuracy of 99.6% for legitimate communicators while ensuring that eavesdroppers cannot decrypt. This approach can also compatible with upper-layer security encryption/decryption algorithms at each layer of the OSI, e.g., data link layer and network layer, offering extensive application prospects.
This paper proposes a physical-layer security scheme for wireless networks, aiming to achieve communication secrecy by making the eavesdropper incapable of decoding the secret wireless message. The considered scenario features one user within the range of two access points, API and AP2. The APs are assumed to be connected through an alternative secure (e.g. wired) connection. The goal is to secure the wireless link between the user and API. While the user transmits to API, AP2 simultaneously transmits an interfering signal, which is a priori provided to API, such that API is likely the only node capable of decoding the user's entire transmission. Evaluation is done through simulation by measuring the upper bound of the information-theoretic secrecy and error performance. In the latter case it is shown that the eavesdropper experiences significantly higher error rates than the intended receiver, thus providing evidence of practical security.
Broadband wireless communication is implemented primarily in a complicated environment. The complex environment with time-varying multi-path propagation characteristics will seriously affect the performance of communication. To solve the problem of insecurity in information transmission in wireless channels, in this paper a system is modeled by using the multi-input single output eavesdropping channel model and the security of information transmission through time reversal technology is ensured. Another problem is that the information focuses on the receiving point. Owing to the temporal and spatial focusing characteristics of the time reversal technology the information near the receiving point can be eavesdropped easily. To solve this problem, a secure transmission scheme based on time reversal technology with artificial noise interference on the transmitter side is proposed. One of the core technologies to solve this problem is to introduce the environment adaptive technique–time reversal in the wireless link. Further, the problem of a wiretap channel in physical layer security research has become a popular research topic in recent years. To solve the problems about the physical layer wiretap channel and multi-path fading in wireless channels, a novel concept combining time reversal technology with physical layer security technology is proposed. In this paper, a physical layer secure transmission scheme based on the joint time reversal technique and artificial noise at the sending end is proposed for the wireless multi-path channel. First, in a typical wiretap channel model the time reversal technique is used to improve the security of the information transmission process by using the properties of spatial and temporal focusing. It refers to the fact that information can be focused at a given moment and in space. Second, as the information is easily eavesdropped near the focus point, artificial noise is added to the sending end to disrupt the ability of the eavesdropper to eavesdrop. The artificial noise has no effect on legitimate user due to the use of null-space artificial noise in legitimate user. Based on this scheme, a closed expression, such as secure signal-to-interference and signal-to-noise ratio, an achievable secrecy rate and bit error rate are obtained, and the influences of the number of antennas, signal-to-noise ratio, and artificial noise are analyzed. The theoretical analysis and simulation results show that the proposed scheme has a higher secrecy signal-to-noise ratio, a higher rate of secrecy, and a lower bit error rate of the legitimate user than the the existing physical layer security schemes.
This paper proposes a new channel state based secure wireless communication mechanism to realize secure communication with a pre-equalization function in a physical layer. Researches of physical layer security have been proposed to achieve secure communication in physical layers. On the contrary, there are a few issues where terminals in a same direction can receive a message, overhead due to complex control mechanisms, special hardware, etc. This paper focusses on practical wireless communication environment, where multi-path signals are received at a receiver. It is common knowledge that a channel state according to multi-path signals is different when a position of a receiver is different. The transmitter of proposed scheme transmits an optimized signal to a receiver with pre-equalizing the signal according to the channel state between the transmitter and the receiver. Therefore, only the receiver that has the same channel state for the pre-equalizing can obtain the high quality signal from the transmitter, and can demodulate the signal correctly. As a result, eavesdroppers around the transmitter cannot equalize the received signal before a demodulation process for the received signal because they exist at a different place of the receiver. The numerical results show that the proposed scheme can realize secure communication in typical wireless channel models. It means that a legitimate receiver can demodulate a signal correctly and eavesdroppers suffer from demodulation errors. As a result, we can find that the proposed scheme can utilize a channel state as an encryption key in physical layer security communication.
ABSTRACT To optimize the security of unmanned cluster communication networks, a hybrid direct‐relay transmission eavesdropping channel model for unmanned clusters is designed. Depending on wireless channel randomness and reciprocity, a physical layer key generation method on the basis of random signal transmission is proposed. Experiments demonstrated that increasing the number of relays and improving the gain of legitimate channels greatly enhanced the confidentiality capacity of unmanned cluster eavesdropping channel models and reduced the security interruption probability. The average throughput and bit error rate of the eavesdropping channel model were 2.83 bps and 9.49%, respectively, which were 40.71% and 41.62% higher than other models, respectively. The key generation rate increased by 35.81% compared to other methods, and the memory consumption decreased by 15.02% compared to other methods. When the SNR is 30 dB, the bit error rate and eavesdropping cracking rate of the point‐to‐point key generation method are reduced by 62.03% and 81.83%, respectively. The consistency of key generation reached 99.76%, which was 2.35% higher than other methods. Moreover, it has shown superior performance in various fields such as military reconnaissance, disaster relief, agricultural monitoring, and logistics transportation, with accuracy and randomness reaching over 98%. The results indicate that the proposed method based on random signal transmission has demonstrated superior security performance and resource efficiency in unmanned cluster communication networks. This method not only provides a new security solution for unmanned cluster systems, but also opens up new directions for the research of physical layer security technology.
5G wireless networks are evolving to meet the rapid increase in the demand of the users to get high-quality broadband services with high-speed data rate. This advance development came up with a lot of challenges such as coverage region, security, energy efficiency, spectrum utilization, cost, latency, and data rate. To ensure the security, there are many conventional key exchange algorithms that need complex infrastructure. In recent times, physical layer-based security has gained a lot of attention since it offers the simple and efficient way of key exchange by exploiting wireless channel characteristics. In this project, for secret key sharing between the two legitimate users through the correlated channel that is shared with eavesdropper, a pre-equalization transmit filter that inverts the main channel is employed. Further to decrease the probability of interception by eavesdropper while permitting successful decoding by the legitimate user. Low-Density Parity Check (LDPC) code is used to assure reliable communication. Modulation schemes such as basic QPSK and 64,128 and 256- QAM are used to achieve higher bit rates. To achieve high secrecy between the legitimate users zero forcing algorithm is used to invert the channel. Through simulations, the effect of channel correlation will be studied to analyze the low secret key mismatch between the Bob and Eve. Here Eve having high Bit Error Rate(BER) so that eve could not obtain the original bits. The simulation will be done using Matlab.