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International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)

Bit Error Rate Based on Artificial Noise Assisted

Wen Li, Huanhuan Song, Jie Tang, Hong Wen, Ziyang Yu, Yonghuang Liu

Published Aug 4, 2023• 0 citations
Publisher

Abstract

In this paper, we address the issue of incorporating physical layer security (PLS). This scenario involves a base station transmitting confidential messages to a legitimate node, all while contending with the presence of a potential eavesdropper. Our assumption is that we lack access to the channel state information pertaining to both the authorized and unauthorized nodes. Moreover, bit error rate (BER) is introduced as an easily quantifiable security metric, which can assess not only the system’s security but also its reliability. The goal of this paper is to evaluate the system’s security performance gain through the BER. Specifically, we characterize the impact of the allocation ratio of artificial noise (AN) power, the number of transceiver antennas and the communication distance on the BER performance. Numerical results reveal that the AN is robust against the unknown passive eavesdropping attack and achieves significant performance gains. For example, the BER gap between intended and illegal users can reach 0.4 by transmitting AN power at approximately 50% of the total power to deliberately impair the eavesdropper’s reception.

DOI
10.1109/ccpqt60491.2023.00027

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In this paper, we address the issue of incorporating physical layer security (PLS). This scenario involves a base station transmitting confidential messages to a legitimate node, all while contending with the presence of a potential eavesdropper. Our assumption is that we lack access to the channel state information pertaining to both the authorized and unauthorized nodes. Moreover, bit error rate (BER) is introduced as an easily quantifiable security metric, which can assess not only the system’s security but also its reliability. The goal of this paper is to evaluate the system’s security performance gain through the BER. Specifically, we characterize the impact of the allocation ratio of artificial noise (AN) power, the number of transceiver antennas and the communication distance on the BER performance. Numerical results reveal that the AN is robust against the unknown passive eavesdropping attack and achieves significant performance gains. For example, the BER gap between intended and illegal users can reach 0.4 by transmitting AN power at approximately 50% of the total power to deliberately impair the eavesdropper’s reception.
This paper investigates the physical layer security in wireless communication networks, focusing on the scenario where a base station sends confidential messages to a legitimate node while facing potential eavesdropping. The study assumes that the channel state information for both authorized and unauthorized nodes is not available. To assess both security and reliability, the paper introduces the use of bit error rate (BER) as a quantifiable security metric. The objective of the research is to evaluate the security performance improvement of the system through BER. Specifically, the impact of artificial noise (AN) power allocation ratio, and the number of transceiver antennas on BER performance is characterized. The numerical results demonstrate that artificial noise is effective against unknown passive eavesdropping attacks and leads to significant performance gains. For instance, by transmitting artificial noise power at approximately 50% of the total power to deliberately impair the eavesdropper’s reception, the BER gap between intended and unauthorized users can reach 0.4.
Physical layer security (PLS) has grown in popularity as it guarantees secure and reliable communication between wireless devices without restricting the ability of data analysts to eavesdrop. PLS benefits from the randomization property of the wireless channel, which improves immunity and protects against many dangers of information breaches from eavesdroppers. MIMO and Massive MIMO, which use numerous antennas at the transmitter and receiver ends, are fundamental technologies for improving efficiency in 5G and future network systems. The PLS still requires a significant amount of work before it can be employed in practical systems. The interception of eavesdroppers can be made difficult by adding artificial noise. This paper focuses on the physical layer security considering maximal ratio combining, and artificial noise with beamforming techniques to further enhance the secrecy rate. The proposed work demonstrates that the use of transmitter beamforming with artificial noise can significantly improve the degree of confidentiality of information being transmitted between a transmitter and an intended receiver while making it more difficult for eavesdroppers to intercept. The simulation results in terms of bit error rate show that the proposed method has a significant impact on the error rate performance of the eavesdropper.
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.
In the physical layer security (PLS), the beam forming with multiple antennas enhances the received signal power at the legitimate user but suppresses it at the other users. The other users hardly demodulate the information without the bit error. However, if the channel state between the legitimate user and the other one is highly correlated, it is possible for the other users to demodulate the information signal. This paper proposes the novel secure communication system with utilizing the artificial noise and the relay station. When the legitimate user emits the artificial noise, the relay station receives the information bearing signal and the artificial noise. The other users cannot demodulate the information due to the interference of artificial noise. After the relay forwards the combined signal between the information bearing signal and the artificial noise to the legitimate user, the artificial noise is removed from the forwarded signal by the legitimate user. As a result, the legitimate user can demodulate the information. Therefore, the secure wireless communication can be constructed. This paper evaluates the secure capacity for the various location of eavesdropper and clarifies the validity of proposed system.
Physical Layer Security (PLS) in Multiple Input Multiple Output (MIMO) systems is crucial to achieving reliable communication. Artificial Noise (AN) is a commonly employed technique to provide PLS-based secure communication. This requires perfect knowledge of the channel between transmitter (Alice) and legitimate user (Bob). However, this channel information may be imperfect due to estimation errors. Thus, the claimed performance of AN-based PLS is questionable and requires thorough investigation. In this work, the effect of imperfect channel estimation on the performance of PLS for multiuser Massive (MU-Massive) MIMO system is investigated. The channel estimation error is modeled as a complex Gaussian variable. The performance measure in terms of Bit-error-rate (BER) is evaluated for different levels of channel estimation error. This investigation provides a good illustration of how the performance of AN-based PLS is affected by the channel estimation error in the MU-Massive MIMO system. This work shows the trend in BER increase with the increase in AN mismatch.
Security is becoming an increasingly important issue in wireless communications, to which physical layer approaches can contribute by providing addition resources for securing confidential messages. In this paper, the resilience of multi-user networks to passive and active eavesdropping is investigated. In particular, average secrecy capacities are evaluated in scenarios involving a base station and several terminals, some of which constitute passive or active eavesdroppers. Network resources (e.g. power) are allocated by the base station based on the available channel state information. The average secrecy capacity of such a network is evaluated in the following cases: (i) in the presence of passive eavesdroppers when no side information is available to the base station; (ii) in the presence of passive eavesdroppers with side information available; and (iii) in the presence of a single active eavesdropper with side information available. This investigation demonstrates that substantial secrecy rates are attainable in the presence of passive eavesdroppers as long as minimal side information, e.g. a statistical characterization of the number of potential eavesdroppers, is available to the base station. On the other hand, it is further found that active eavesdroppers can potentially compromise such networks unless statistical inference is employed to restrict their ability to attack.