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International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)

A Perfect Secrecy Communication Scheme Based on Strictly Typical Artificial Noise and Cascaded Secure Codes

Ren Duan, Meng Ma, Chao‐Hai Du

Published Oct 16, 2024• 1 citation
Publisher

Abstract

This paper proposes a perfect secrecy-achieving scheme for wireless communication systems. Most existing physical layer security schemes can achieve only weak or strong secrecy. One of the main reasons is the uncertainty of the eavesdropping channels. In order to achieve perfect secrecy, we design the artificial noise (AN) as a strictly typical sequence to guarantee that the eavesdropping channel is degraded with probability 1. In addition, a cascaded code is also designed to achieve both reliability and security. Theoretical analysis proves that the proposed scheme can transmit private message with finite code length without any information leakage. Finally, security performance of the proposed scheme is measured and compared with theoretical bounds, and a tradeoff between AN power consumption and decoding threshold is also analyzed numerically.

DOI
10.1109/ccci61916.2024.10736451

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This paper proposes a perfect secrecy-achieving scheme for wireless communication systems. Most existing physical layer security schemes can achieve only weak or strong secrecy. One of the main reasons is the uncertainty of the eavesdropping channels. In order to achieve perfect secrecy, we design the artificial noise (AN) as a strictly typical sequence to guarantee that the eavesdropping channel is degraded with probability 1. In addition, a cascaded code is also designed to achieve both reliability and security. Theoretical analysis proves that the proposed scheme can transmit private message with finite code length without any information leakage. Finally, security performance of the proposed scheme is measured and compared with theoretical bounds, and a tradeoff between AN power consumption and decoding threshold is also analyzed numerically.
Secure communication with noisy feedback is studied in this correspondence. Unlike the majority of previous research efforts where the eavesdropper's channel state information (CSI)-either instantaneous or statistical CSI, is known by the legitimate users, a joint feedback and artificial noise scheme without any eavesdropper's CSI is proposed. The proposed scheme lets the source and the legitimate destination alternatively transmit private messages and degrade the eavesdropper's channel quality in all transmission phases. An insightful discovery is that if the transmit power is lager than a certain threshold, a positive secrecy capacity can be achieved, which overcomes the problem that the secrecy cannot be achieved when the legitimate user's CSI is worse than the eavesdropper's. The secrecy capacity maximization problem is investigated by adaptive power allocation for the private signals and the artificial noise where a near optimal solution of the power of artificial noise is obtained under the high SNR situation. Finally, the numerical results verify the theoretical analysis and illustrate the secrecy performance of the proposed scheme.
This paper investigates cooperative security in wireless networks, where a source (Alice) intends to transmit a confidential message to a legitimate destination (Bob), with the help of a cooperative jammer (Charlie), coexisting with multiple passive eavesdroppers (Eves). In particular, by assuming knowledge of Bob's perfect channel state information (CSI) but only Eves’ statistical CSIs, secrecy beamforming with artificial noise (AN) is utilized for secure transmission, and cooperative jamming (CJ) is explored to further enhance secrecy. We first derive an accurate closed-form expression for the secrecy outage probability (SOP), and establish the condition under which positive secrecy rate is achievable. Then, we provide a secure transmit design for maximizing the SOP constrained secrecy rate. Moreover, based on a strict mathematical analysis, we characterize the impact of the main channel quality and the number of Eves on transmit design and secrecy performance. Specifically, optimal power allocation ratio between the information-bearing signal and the AN signal increases as the main channel quality improves, and decreases with the number of Eves. Numerical results confirm that our design achieves performance improvement in terms of both secrecy rate and secure energy efficiency, as compared to the approach without CJ.
In this paper, we study the secure transmission in multiple access wiretap channels when the instantaneous channel state information (CSI) of the wiretap channels is unknown by the legitimate users. We propose a two-phase jamming-assisted secure transmission scheme based on the randomness and independence of wireless channels. In this scheme, we appropriately design artificial noise in two transmission phases and make sure that the eavesdropper's channel is degraded by the artificial noise but the legitimate user's channel is free of the artificial noise. We analyze the capacity of the legitimate channel after using successive interference cancellation (SIC), and demonstrate that the eavesdropping capacity has an upper bound. Furthermore, we prove that a positive secrecy rate can be achieved and the achievable secrecy rate can be maximized by allocating appropriate power to the private information and the artificial noise.
Current security techniques can be implemented either by requiring a secret key exchange or depending on assumptions about the communication channels. In this paper, we show that, by using a physical layer technique known as artificial noise, it is feasible to protect secret data without any form of secret key exchange and any restriction on the communication channels. Specifically, we analyze how the artificial noise can achieve practical secrecy. By treating the artificial noise as an unshared one-time pad secret key, we show that the proposed scheme also achieves Shannon's perfect secrecy. Moreover, we show that achieving perfect secrecy is much easier than ensuring non-zero secrecy capacity, especially when the eavesdropper has more antennas than the transmitter. Focusing on the practical applications, we show that practical secrecy and strong secrecy can be guaranteed even if the eavesdropper attempts to remove the artificial noise. We finally show the connections between traditional cryptography and physical layer security.
The Artificial noise (AN) injection scheme is recently proposed to secure wireless transmissions. By simultaneously transmitting data symbols and artificial interference, it prevents the eavesdropper from decoding the secret message intended for the legitimate receiver. In this paper, we mainly focus on weakness of the AN security scheme. First, we analyze the necessary condition for such a scheme to guarantee that the legitimate transmitter-receiver pair can achieve a positive secrecy communication rate. And then, we further propose an effective eavesdropping strategy to counteract such a security scheme once the condition does not hold up in some wireless systems. Our proposed wiretap method involves complex-valued independent component analysis (ICA) and requires the antenna number of the eavesdropper's is larger or equal to that of the transmitter's. Simulation results demonstrate the effectiveness of this wiretap method.
At present, there has been a large amount of research on secrecy rate optimization. However, the reliability analysis of secure transmission is equally important although relatively less attention has been dedicated to. Therefore, this paper proposes a secure transmission method with artificial noise for the physical layer security issues in the transmission process of Multiple Input Multiple Output (MIMO) wireless communication systems. Firstly, we establish an artificial noise assisted MIMO systems model. Then, the channel state information (CSI) matrix is subjected to singular value decomposition to obtain the reasonable precoding and artificial noise matrices. Finally, the impact of artificial noise on the bit error rate performance of potential eavesdropper is analyzed, and based on the analysis, the problem of maximizing the system secrecy rate is established. The concave-convex procedure (CCCP) method is used to obtain the optimal power allocation, which significantly improves the security of MIMO systems. The simulation results show that using the null space of CSI matrix and artificial noise for signal encryption effectively improves the bit error rate of potential eavesdropping nodes. In addition, the secrecy rate obtained by the CCCP algorithm is consistent with the performance obtained by the particle swarm optimization algorithm, which verifies the effectiveness of the proposed algorithm.