Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

IEEE/CIC International Conference on Communications in China (ICCC)

Effective eavesdropping in the Artificial noise aided security scheme

Feilong Wu, Wenjie Wang, Bobin Yao, Qinye Yin

Published Aug 1, 2013• 8 citations
Publisher

Abstract

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.

DOI
10.1109/iccchina.2013.6671117

Related papers

Artificial noise aided secure communication and its eavesdropping method

Yang Pen

The broadcast nature of wireless network leads to significant challenges to its information security. Recently,artificial noise(AN) is proposed to be injected into the wiretap channel to interfere the eavesdropper for secret communication at the physical-layer. In this paper,we investigate the necessary condition for this AN-aided scheme to ensure communication security,and further propose an effective wiretap algorithm to counteract such a security scheme. When the eavesdropper equips more antennas than the transmitter,it is able to cancel artificial interference and extract the secret information by complex-valued independent component analysis(ICA). Numerical simulation results verify that our proposed algorithm can defeat the AN-aided security scheme and implement eavesdropping effectively.

Journal of Chongqing University of Posts and Telecommunications•Jan 1, 2014•0 citations

Secure Transmission Over Multiple Access Wiretap Channel by Cross-Time Interference Injection

Hongliang He, Shanxiang Lyu, Bingwen Feng

Due to the openness of wireless communication, information transmitted in the multiple access channel is vulnerable to eavesdropping by illegitimate users. Classic artificial noise-assisted schemes can improve security but are not suitable for power-constrained users. To address this problem, we propose a cross-time interference injection scheme in this paper, which improves security by introducing cross-time self-interference and inter-user interference, and does not require artificial noise. The proposed scheme exploits the properties of the Hadamard matrix and the wireless channels, so that the eavesdropping channel suffers from stronger interference than the legitimate channel. We analyze the security performance when both the legitimate receiver and the eavesdropper exploit the successive interference cancellation (SIC) scheme, including the secrecy sum rate, the secrecy capacity, and the secrecy outage probability. We further investigate the effect of the number of eavesdropper’s antennas, the number of legitimate users, and the number of time slots used by the scheme on the security performance, and obtain the corresponding relationship between these parameters when achieving a positive secrecy rate. Finally, simulation results corroborate our theoretical analysis.

IEEE Transactions on Communications•Nov 14, 2022•13 citations

Performance Analysis of Artificial-Noise-Based Secure Transmission in Wiretap Channel

Hyukmin Son

Artificial noise (AN)-aided techniques have been considered to be promising and practical candidates for enhancing physical layer security. However, there has been a lack of analysis regarding the AN effect on the eavesdropper (EV) from the perspective of the signal-to-interference plus noise ratio (SINR) regarding the existence of the EV’s channel state information (CSI) at the legitimate transmitter. In this paper, we analyze the performance of AN-aided secure transmission from the SINR perspective when a legitimate transmitter has and does not have the EV’s CSI. Based on the analyzed EV’s SINRs for the above two cases, the secrecy gap, which is the difference between the two secrecy capacities, is defined and analyzed. Based on the derived secrecy gap, we have analyzed the asymptotic performances of the secrecy capacity and gap when the number of antennas of the legitimate transmitter and the number of antennas of the EV have large values. Through asymptotic analysis, it is demonstrated that the AN-aided secure transmission under the practical environment (i.e., the case that the EV’s CSI is not available at the legitimate transmitter) can nearly achieve an ideal performance (i.e., the performance when the EV’s CSI is available at the legitimate transmitter) in a massive antenna system.

Mathematics•Dec 26, 2024•4 citations

Artificial Noise-Based Countermeasure Against Full-Duplex (FD) Active Eavesdropping

Shiguo Wang, Yun Zhao

Owing to the openness of wireless channels, ensuring the security of communication for massive multiple-input multiple-output (MIMO) systems faces severe challenges. For the massive MIMO system in the presence of a full-duplex (FD) multi-antenna eavesdropper, a dual artificial-noise (AN) injection scheme is proposed to enhance communication security in this paper. Specifically, AN is superimposed onto the transmitted pilot signals to interfere with the eavesdropper from estimating the legitimate user channel in pilot training phases. In the phase of data transmission, the AN generated in the null space of the legitimate user is introduced to prevent the eavesdropper from receiving the confidential messages. Meanwhile, an iterative optimization algorithm is presented to obtain the optimal power allocation between the information-bearing signals and the AN for the potential countermeasures taken by the eavesdropper. Numerical results are presented to validate the superior performance of the proposed scheme in security ensurance compared to the conventional ones with AN injection schemes.

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)•Nov 14, 2025•0 citations

Secrecy Capacity Analysis of Artificial Noisy MIMO Channels—An Approach Based on Ordered Eigenvalues of Wishart Matrices

Yiliang Liu, Hsiao‐Hwa Chen, Liangmin Wang

Artificial noise (AN) can be used to confuse eavesdroppers in a physical layer security system. One of the main issues concerned in AN schemes is how to improve secrecy capacities. Most existing AN schemes were proposed based on an assumption that the number of transmit antennas t is larger than that of receiver antennas r, such that they can utilize all r eigen-subchannels of a multiple-output multiple-input (MIMO) system to send messages, and use remaining t - r null spaces for transmitting AN signals. These AN signals null out legitimate receivers and degrade eavesdropper channels. However, transmitting messages in all eigen-subchannels is not always a good strategy. In particular, when the number of transmit antennas is constrained or even smaller than those of receivers, the secrecy capacities of legitimate receivers will be impaired significantly if using all eigen-subchannels for message transmission. To improve secrecy capacity, we propose an AN scheme where messages are encoded in s (which is a variable) strongest eigen-subchannels based on ordered eigenvalues of Wishart matrices, while AN signals are generated in remaining t - s spaces. We derive the average secrecy capacity of a single-user MIMO wiretap channel in the presence of an eavesdropper with multiple antennas. We show that the numerical results are in a good agreement with simulation results. The secrecy capacity of the proposed AN scheme can be improved by approximately 20% ~ 40% if compared with existing AN schemes.

IEEE Transactions on Information Forensics and Security•Nov 9, 2016•44 citations

Artificial Noise Injection for Securing Single-Antenna Systems

Biao He, Yechao She, Vincent K. N. Lau

We propose a novel artificial noise (AN) injection scheme for wireless systems over quasi-static fading channels, in which a single-antenna transmitter sends confidential messages to a half-duplex receiver in the presence of an eavesdropper. Different from classical AN injection schemes, which rely on a multiantenna transmitter or external helpers, our proposed scheme is applicable to the scenario, where the legitimate transceivers are very simple. We analyze the performance of the proposed scheme and optimize the design of the transmission. Our results highlight that perfect secrecy is always achievable by properly designing the AN injection scheme.

arXiv:1705.03036•IEEE Transactions on Vehicular Technology•May 12, 2017•60 citations
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.
The broadcast nature of wireless network leads to significant challenges to its information security. Recently,artificial noise(AN) is proposed to be injected into the wiretap channel to interfere the eavesdropper for secret communication at the physical-layer. In this paper,we investigate the necessary condition for this AN-aided scheme to ensure communication security,and further propose an effective wiretap algorithm to counteract such a security scheme. When the eavesdropper equips more antennas than the transmitter,it is able to cancel artificial interference and extract the secret information by complex-valued independent component analysis(ICA). Numerical simulation results verify that our proposed algorithm can defeat the AN-aided security scheme and implement eavesdropping effectively.
Due to the openness of wireless communication, information transmitted in the multiple access channel is vulnerable to eavesdropping by illegitimate users. Classic artificial noise-assisted schemes can improve security but are not suitable for power-constrained users. To address this problem, we propose a cross-time interference injection scheme in this paper, which improves security by introducing cross-time self-interference and inter-user interference, and does not require artificial noise. The proposed scheme exploits the properties of the Hadamard matrix and the wireless channels, so that the eavesdropping channel suffers from stronger interference than the legitimate channel. We analyze the security performance when both the legitimate receiver and the eavesdropper exploit the successive interference cancellation (SIC) scheme, including the secrecy sum rate, the secrecy capacity, and the secrecy outage probability. We further investigate the effect of the number of eavesdropper’s antennas, the number of legitimate users, and the number of time slots used by the scheme on the security performance, and obtain the corresponding relationship between these parameters when achieving a positive secrecy rate. Finally, simulation results corroborate our theoretical analysis.
Artificial noise (AN)-aided techniques have been considered to be promising and practical candidates for enhancing physical layer security. However, there has been a lack of analysis regarding the AN effect on the eavesdropper (EV) from the perspective of the signal-to-interference plus noise ratio (SINR) regarding the existence of the EV’s channel state information (CSI) at the legitimate transmitter. In this paper, we analyze the performance of AN-aided secure transmission from the SINR perspective when a legitimate transmitter has and does not have the EV’s CSI. Based on the analyzed EV’s SINRs for the above two cases, the secrecy gap, which is the difference between the two secrecy capacities, is defined and analyzed. Based on the derived secrecy gap, we have analyzed the asymptotic performances of the secrecy capacity and gap when the number of antennas of the legitimate transmitter and the number of antennas of the EV have large values. Through asymptotic analysis, it is demonstrated that the AN-aided secure transmission under the practical environment (i.e., the case that the EV’s CSI is not available at the legitimate transmitter) can nearly achieve an ideal performance (i.e., the performance when the EV’s CSI is available at the legitimate transmitter) in a massive antenna system.
Owing to the openness of wireless channels, ensuring the security of communication for massive multiple-input multiple-output (MIMO) systems faces severe challenges. For the massive MIMO system in the presence of a full-duplex (FD) multi-antenna eavesdropper, a dual artificial-noise (AN) injection scheme is proposed to enhance communication security in this paper. Specifically, AN is superimposed onto the transmitted pilot signals to interfere with the eavesdropper from estimating the legitimate user channel in pilot training phases. In the phase of data transmission, the AN generated in the null space of the legitimate user is introduced to prevent the eavesdropper from receiving the confidential messages. Meanwhile, an iterative optimization algorithm is presented to obtain the optimal power allocation between the information-bearing signals and the AN for the potential countermeasures taken by the eavesdropper. Numerical results are presented to validate the superior performance of the proposed scheme in security ensurance compared to the conventional ones with AN injection schemes.
Artificial noise (AN) can be used to confuse eavesdroppers in a physical layer security system. One of the main issues concerned in AN schemes is how to improve secrecy capacities. Most existing AN schemes were proposed based on an assumption that the number of transmit antennas t is larger than that of receiver antennas r, such that they can utilize all r eigen-subchannels of a multiple-output multiple-input (MIMO) system to send messages, and use remaining t - r null spaces for transmitting AN signals. These AN signals null out legitimate receivers and degrade eavesdropper channels. However, transmitting messages in all eigen-subchannels is not always a good strategy. In particular, when the number of transmit antennas is constrained or even smaller than those of receivers, the secrecy capacities of legitimate receivers will be impaired significantly if using all eigen-subchannels for message transmission. To improve secrecy capacity, we propose an AN scheme where messages are encoded in s (which is a variable) strongest eigen-subchannels based on ordered eigenvalues of Wishart matrices, while AN signals are generated in remaining t - s spaces. We derive the average secrecy capacity of a single-user MIMO wiretap channel in the presence of an eavesdropper with multiple antennas. We show that the numerical results are in a good agreement with simulation results. The secrecy capacity of the proposed AN scheme can be improved by approximately 20% ~ 40% if compared with existing AN schemes.
We propose a novel artificial noise (AN) injection scheme for wireless systems over quasi-static fading channels, in which a single-antenna transmitter sends confidential messages to a half-duplex receiver in the presence of an eavesdropper. Different from classical AN injection schemes, which rely on a multiantenna transmitter or external helpers, our proposed scheme is applicable to the scenario, where the legitimate transceivers are very simple. We analyze the performance of the proposed scheme and optimize the design of the transmission. Our results highlight that perfect secrecy is always achievable by properly designing the AN injection scheme.