Secrecy Performance Analysis for Hybrid Wiretapping Systems Using Random Matrix Theory

Chen, Hui; Tao, Xiaofeng; Li, Na; Hou, Yanzhao; Xu, Jin; Han, Zhu

doi:10.1109/twc.2018.2889768

Cited by 10 publications

(10 citation statements)

References 43 publications

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“…Here, A is a malicious, but smart IoT node possessing the dual capability of eavesdropping and jamming, though having a limited energy budget P m . A works in a half-duplex mode [2] and while eavesdropping, it turns on its receiver, and attempts to tap the legitimate transmissions of S. Alternatively, when A acts as a jammer, it sends a jamming signal at power P J to impair the legitimate receptions at U. The corresponding channel gains over S-U, S-A and A-U links are respectively denoted by g SU , g SA and g AU .…”

Section: A Network Topology and Channel Modelmentioning

confidence: 99%

“…Physical layer security (PLS) is a promising approach for investigating the security threats in resource-constrained setups like internet of things (IoT) [1], especially with an intelligent hybrid attacker capable of carrying both eavesdropping and jamming [2]. Along with the security, energy efficiency (EE) has also become important from both user and attacker's perspective [3].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Green Hybrid Attacks in Secure IoT

Ahuja

Mishra

Bose

2020

IEEE Wireless Commun. Lett.

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In pursuance to understand the behavior of a potential green hybrid attacker in secure internet-of-things (IoT), this letter investigates optimal energy utilization from the attacker's viewpoint. Specifically, we propose a novel framework for optimizing the efficacy of a hybrid attacker, possessing capability to both eavesdrop and jam, while considering the underlying energy consumption. In particular, we maximize the attacker energy efficiency (AEE) in secure IoT by deriving the analytical solutions for jointly global-optimal attacking mode, eavesdropping rate, and jamming power. Numerical results, validating analytical claims, reveal that the proposed green design can offer about 45% improvement in average AEE over the relevant benchmarks.

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Section: A Network Topology and Channel Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Green Hybrid Attacks in Secure IoT

Ahuja

Mishra

Bose

2020

IEEE Wireless Commun. Lett.

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“…The authors have investigated the full duplex attacker in [22], [23] where passive eavesdropping and active jamming are performed simultaneously. In [24] secrecy performance of a wireless network with randomly deployed hybrid attackers is analysed using stochastic geometry tools and random matrix theory. Recently, much attention is being paid to the utilisation of distance distributions as a complement to PPP models for performance analysis in wireless networks [17], [18] without considering secrecy requirements.…”

Section: A Related Artmentioning

confidence: 99%

“…As noted in the literature survey, PLS in spatial stochastic networks is mainly studied under the assumption of homogeneous PPP based deployment of nodes [12]- [15], [24] which are non-viable in several practical scenarios [17], [18]. Moreover, most studies of stochastic networks consider a passive attacker that can only eavesdrop.…”

Section: B Research Gap and Motivationmentioning

confidence: 99%

QoS‐aware stochastic spatial PLS model for analysing secrecy performance under eavesdropping and jamming

2020

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Securing wireless communication, being inherently vulnerable to eavesdropping and jamming attacks, becomes more challenging in resource-constrained networks like Internet-of-Things. Towards this, physical layer security (PLS) has gained significant attention due to its low complexity. In this paper, we address the issue of random inter-node distances in secrecy analysis and develop a comprehensive quality-of-service (QoS) aware PLS framework for the analysis of both eavesdropping and jamming capabilities of attacker. The proposed solution covers spatially stochastic deployment of legitimate nodes and attacker. We characterise the secrecy outage performance against both attacks using inter-node distance based probabilistic distribution functions. The model takes into account the practical limits arising out of underlying QoS requirements, which include the maximum distance between legitimate users driven by transmit power and receiver sensitivity. A novel concept of eavesdropping zone is introduced, and relative impact of jamming power is investigated. Closed-form expressions for asymptotic secrecy outage probability are derived offering insights into design of optimal system parameters for desired security level against the attacker's capability of both attacks. Analytical framework, validated by numerical results, establishes that the proposed solution offers potentially accurate characterisation of the PLS performance and key design perspective from point-of-view of both legitimate user and attacker.

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“…In the presence of a full-duplex eavesdropper having both eavesdropping and jamming capabilities, the authors in [29] proposed a novel secure transmission strategy against eavesdropping by the sophisticated adversary. The authors in [30] studied the secrecy outage probability and mean SR of the system to evaluate the security performance of the system. In this paper, our focus is on how to suppress the malicious jamming and improve the secure performance by designing receive beamforming (RBF) at Bob in the presence of the malicious jamming.…”

Section: Introductionmentioning

confidence: 99%

Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker

Yin¹,

Li²,

Liu³

et al. 2020

Preprint

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In this paper, we present a novel scenario for directional modulation (DM) networks with a fullduplex (FD) malicious attacker (Mallory), where Mallory can eavesdrop the confidential message from Alice to Bob and simultaneously interfere Bob by sending a jamming signal. Considering that the jamming plus noise at Bob is colored, an enhanced receive beamforming (RBF), whitening-filter-based maximum ratio combining (MRC) (WFMRC), is proposed. Subsequently, two RBFs of maximizing the secrecy rate (Max-SR) and minimum mean square error (MMSE) are presented to show the same performance as WFMRC. To reduce the computational complexity of conventional MMSE, a lowcomplexity MMSE is also proposed. Eventually, to completely remove the jamming signal from Mallory and transform the residual interference plus noise to a white one, a new RBF, null-space projection (NSP) based maximizing WF receive power, called NSP-based Max-WFRP, is also proposed. From simulation

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Secrecy Performance Analysis for Hybrid Wiretapping Systems Using Random Matrix Theory

Cited by 10 publications

References 43 publications

Optimal Green Hybrid Attacks in Secure IoT

Optimal Green Hybrid Attacks in Secure IoT

QoS‐aware stochastic spatial PLS model for analysing secrecy performance under eavesdropping and jamming

Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker

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