A Game Theoretic Analysis of Secret and Reliable Communication With Active and Passive Adversarial Modes

Garnaev, Andrey; Baykal‐Gürsoy, Melike; Poor, H. Vincent

doi:10.1109/twc.2015.2498934

Cited by 64 publications

(44 citation statements)

References 29 publications

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“…For example, physical-layer IDS presented neither in the work of Spuhler et al 14 nor in the work of Chiang and Hu 15 is analyzed in terms of asymptotic complexity. The same case stands with other physical-layer detection schemes presented in other works, [16][17][18][19] in which asymptotic analysis is not presented. Main contribution of this work involves analyzing asymptotic performance of the proposed PLIDS 20 in terms of computational complexity, space complexity, and input scale.…”

Section: Motivations and Contributionssupporting

confidence: 65%

“…Similarly, detail of asymptotic performance is missing from physical‐layer IDSs presented in other works . Moreover, the PLIDS presented in the work of Yousaf et al also lacks asymptotic analysis for which asymptotic performance metric P is derived in Section 6.…”

Section: Related Workmentioning

confidence: 99%

“…Similarly, detail of asymptotic performance is missing from physical-layer IDSs presented in other works. [16][17][18][19] Moreover, the PLIDS presented in the work of Yousaf et al 20 also lacks asymptotic analysis for which asymptotic performance metric P is derived in Section 6. Apart from asymptotic analysis, some additional advantages of using PLIDS are discussed in Sections 7 to 9.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Convergence of detection probability, computational gains, and asymptotic analysis of an algorithm for physical‐layer intrusion detection system

Yousaf

Loan

Babiceanu

et al. 2018

Trans Emerging Tel Tech

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Asymptotic analysis of an algorithm is crucial for practical engineering design. It provides important information about the performance of an algorithm in terms of time complexity, space complexity, and input scale. Based on these performance metrics, engineers can utilize available resources for efficient implementation of the algorithm. In this paper, asymptotic analysis is performed for an algorithm designed for a physical‐layer intrusion detection system (PLIDS). The algorithm first solves Fredholm integral equation of the first kind using Tikhonov regularization. Then, the solution of this equation is used to design a criterion for detection of smart jamming attacks at physical‐layer of the TCP/IP protocol stack. The proposed detection criterion works in constant time. The asymptotic performance metric derived for PLIDS gives insights about its algorithmic behavior. Convergence of detection probability and computational gain of using PLIDS, over higher‐layer intrusion detection systems, are also explained. Finally, apart from asymptotic performance, the detection performance metrics of the PLIDS are also discussed.

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Section: Motivations and Contributionssupporting

confidence: 65%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Convergence of detection probability, computational gains, and asymptotic analysis of an algorithm for physical‐layer intrusion detection system

Yousaf

Loan

Babiceanu

et al. 2018

Trans Emerging Tel Tech

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“…Recent studies have shown interest on optimizing the EE of jamming attacker [3], [4]. Whereas optimal attacking strategies for hybrid attacker are designed in [5], [6] to achieve maximum degradation in the secrecy rate, however EE aspect has been neglected. Further, decoding-based energy-expenditures in eavesdropping and practical circuit-level consumption during jamming have been ignored while considering energy consumption at attacker [3]- [7].…”

Section: Introductionmentioning

confidence: 99%

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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“…In [17], nodes equipped with multiple antennas use the same logic: they transmit artificial noise selectively in the direction of the adversary, limiting it in the direction of the friend/desired user. Game theory can be used to study the optimization of reliability vs. secrecy for both legitimate nodes and eavesdroppers [18]. A review of cooperative techniques for enhancing the security can be found in [19].…”

Section: Physical-layer Securitymentioning

confidence: 99%

The Role of Physical Layer Security in IoT: A Novel Perspective

2016

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This paper deals with the problem of securing the configuration phase of an Internet of Things (IoT) system. The main drawbacks of current approaches are the focus on specific techniques and methods, and the lack of a cross layer vision of the problem. In a smart environment, each IoT device has limited resources and is often battery operated with limited capabilities (e.g., no keyboard). As a consequence, network security must be carefully analyzed in order to prevent security and privacy issues. In this paper, we will analyze the IoT threats, we will propose a security framework for the device initialization and we will show how physical layer security can effectively boost the security of IoT systems.

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A Game Theoretic Analysis of Secret and Reliable Communication With Active and Passive Adversarial Modes

Cited by 64 publications

References 29 publications

Convergence of detection probability, computational gains, and asymptotic analysis of an algorithm for physical‐layer intrusion detection system

Convergence of detection probability, computational gains, and asymptotic analysis of an algorithm for physical‐layer intrusion detection system

Optimal Green Hybrid Attacks in Secure IoT

The Role of Physical Layer Security in IoT: A Novel Perspective

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