Securing OFDM-based wireless links using temporal artificial-noise injection

Marzban, Mohamed F.; Shafie, Ahmed El; Chabaan, Rakan; Al-Dhahir, Naofal

doi:10.1109/ccnc.2018.8319170

Cited by 8 publications

(6 citation statements)

References 14 publications

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“…Jamming signals can also be transmitted from the source in the form of temporal AN [15]. Precoding methods can be applied to send the AN to the null space of the legitimate link to enhance the secrecy performance [16].…”

Section: B Literature Reviewmentioning

confidence: 99%

Artificial Noise-Aided Secure Relay Communication With Unknown Channel Knowledge of Eavesdropper

Zhang

Rong

et al. 2021

IEEE Trans. Wireless Commun.

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In this paper, a new relay-aided secure communication system is investigated, where a transmitter sends signals to a destination via an amplify-and-forward (AF) relay in the presence of an eavesdropper. We consider a general system configuration, where the source, relay, destination, and eavesdropper are all equipped with multiple antennas. In the practical scenarios of unknown eavesdropper's channel state information (CSI) and uncertainty of the eavesdropper's location, we aim to maximize the expected value of the system secrecy rate over the presumed distribution of the eavesdropper's channels, by exploiting the artificial noise (AN) transmitted by the source and relay nodes. The system design issue is formulated as a nonconvex stochastic optimization problem with a source transmission power constraint and a nonconvex relay transmission power constraint. A novel computational method is proposed to solve this challenging problem. The new method is developed based on an exact penalty function method together with a parallel stochastic decomposition algorithm. Numerical simulations are performed to study the effectiveness of the proposed scheme at various locations of the eavesdropper. Simulation results show that for most cases, secure communication can be achieved without the CSI knowledge of eavesdropper's channels, and the achievable secrecy rate follows the trend of a benchmark system where the eavesdropper's full CSI is available. In particular, the achievable system secrecy rate increases with the number of antennas at the legitimate users. Moreover, the optimal power allocated for the transmission of the AN increases with the system signal-to-noise ratio. The proposed computational method achieves a higher system secrecy rate than a conventional penalty function based approach.

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Section: B Literature Reviewmentioning

confidence: 99%

Artificial Noise-Aided Secure Relay Communication With Unknown Channel Knowledge of Eavesdropper

Zhang

Rong

et al. 2021

IEEE Trans. Wireless Commun.

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“…For each channel realization, compute the Alice-Bob link rate from (10) and its secrecy rate outage probability from (19) 8:…”

Section: Dynamic Parameters Optimizationmentioning

confidence: 99%

Novel Secret-Key-Assisted Schemes for Secure MISOME-OFDM Systems

Marzban,

Shafie,

Al-Dhahir

2021

Preprint

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We propose a new secure transmission scheme for uplink multiple-input single-output (MISO) orthogonal-frequency multiplexing (OFDM) systems in the presence of multiple eavesdroppers. Our proposed scheme utilizes the sub-channels orthogonality of OFDM systems to simultaneously transmit data and secret key symbols. The base station, Bob, shares secret key symbols with the legitimate user, Alice, using wiretap coding over a portion of the sub-channels. Concurrently, Alice uses the accumulated secret keys in her secret-key queue to encrypt data symbols using a one time pad (OTP) cipher and transmits them to Bob over the remaining sub-channels. if Alice did not accumulate sufficient keys in her secret-key queue, she employs wiretap coding to secure her data transmissions. We propose fixed and dynamic sub-channel allocation schemes to divide the sub-channels between data and secret keys. We derive the secrecy outage probability (SOP) and the secure throughput for the proposed scheme. We quantify the system's security under practical non-Gaussian transmissions where discrete signal constellation points are transmitted by the legitimate source nodes. Numerical results validate our theoretical findings and quantify the impact of different system design parameters.

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“…Until MIMO technology begins to be widely used, physical layer security technology has been paid attention to gradually. Especially with the introduction of artificial noise (AN) technology, physical layer security technology has made significant progress [3]. It shows how physical security technology improve the security performance of the system effectively.…”

Section: Communication Encryption Technologymentioning

confidence: 99%

The Secrecy Capacity Optimization Artificial Noise: A New Type of Artificial Noise for Secure Communication in MIMO System

Yin

et al. 2019

IEEE Access

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In multiple-input multiple-output wireless communication system, artificial noise (AN) is designed to be aligned into the null space of the legitimate channel so that it has no effect on the legitimate channel. Meanwhile, AN will reduce the secrecy capacity of the eavesdropping channel so that AN increase the secrecy capacity of the wireless communication system. Nevertheless, AN technology only pays attention to the CSI of the legitimate channel but does not pay attention to the CSI of the eavesdropping channel so that the secrecy capacity of the system can be further improved. In this paper, we analyze the performance of traditional AN. A secrecy capacity optimization artificial noise for the whole communication system to further improve the system's secrecy capacity is proposed. The secrecy capacity optimization artificial noise is considered as a kind of artificial noise which is disadvantageous to the legitimate receiver but more disadvantageous to the eavesdropper. Furthermore, we further analyzed the technical details of AN technology and found the key factor affecting the secrecy capacity. Meanwhile, the secrecy capacity optimization artificial noise is effectively designed by applying these conclusions and the key factors of secrecy capacity optimization artificial noise affecting the secrecy capacity of the wireless communication system are described. The analysis and simulation results in practical environments show that the proposed method has a good performance on improving the secrecy capacity.

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Securing OFDM-based wireless links using temporal artificial-noise injection

Cited by 8 publications

References 14 publications

Artificial Noise-Aided Secure Relay Communication With Unknown Channel Knowledge of Eavesdropper

Artificial Noise-Aided Secure Relay Communication With Unknown Channel Knowledge of Eavesdropper

Novel Secret-Key-Assisted Schemes for Secure MISOME-OFDM Systems

The Secrecy Capacity Optimization Artificial Noise: A New Type of Artificial Noise for Secure Communication in MIMO System

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