Mitigation of Byzantine Attacks on Distributed Detection Systems Using Audit Bits

Hashlamoun, Wael; Brahma, Swastik; Varshney, Pramod K.

doi:10.1109/tsipn.2017.2723723

Cited by 24 publications

(32 citation statements)

References 26 publications

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“…After identifying the malicious attacks, the improvement in the system security performance is studied with the help of audit bits. Further in [110] Wu et al use the audit sets to perform a comprehensive investigation into attack cost and attack benefit from the malicious perspective to identify the tendency of an SU for becoming an attacker. In [115], Fu et al develop a Bayesian-inferencebased sliding window trust model to identity the SSDF attacks without any prior knowledge about the attackers.…”

Section: Mechanism Of Ssdf Attacksmentioning

confidence: 99%

A survey on security issues in cognitive radio based cooperative sensing

et al. 2021

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Cognitive radio based cooperative spectrum sensing (CSS) is severely affected when some secondary users maliciously attack it. Two attacks regarded as key adversaries to the success of CSS are spectrum sensing data falsification (SSDF) and primary user emulation attack (PUEA). Defending SSDF and PUEAs has received significant attention in research in the past decade globally. This paper performs a state-of-the-art comprehensive survey of the researches on defending SSDF and PUEAs. First, the preliminaries like Hypothesis testing for detecting the primary user and different models of CSS are discussed briefly. Then a categorization of the defence mechanisms for defending both the attacks has been proposed as active and passive. Active mechanisms are suitable for an immediate defence in a limited time span, while passive mechanisms are suitable for flexible CSS systems that are ready to detect the attacks over a period of time and suppress them permanently by bringing changes in their underlying operations. An in-depth tutorial on both the defence mechanisms is provided from the perspectives of the secondary users throughput and the interference to the primary user. Finally, a detailed survey on the open research problems in this area and some possible solutions has been performed. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Mechanism Of Ssdf Attacksmentioning

confidence: 99%

A survey on security issues in cognitive radio based cooperative sensing

et al. 2021

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“…F. Ye et al made use of evidence theory and credibility calculation where evaluates the holistic credibility of SUs from both the real-time difference and statistical sensing behavior of SUs in [21] to propose a CSS method. In [22], W. Hashlamoun et al proposed a mechanism to mitigate the Byzantine attack by partitioning sensors into groups and measured the CSS performance by introducing a weighted Kullback-Leibler divergence indicator. Unfortunately, [20][21][22][23][24] only consider the simple always attack, such as always yes/no/false attack, but in fact, for a rational MU, the always attack is more aggressive and easily identified by the FC's defense strategy.…”

Section: Related Workmentioning

confidence: 99%

“…In [22], W. Hashlamoun et al proposed a mechanism to mitigate the Byzantine attack by partitioning sensors into groups and measured the CSS performance by introducing a weighted Kullback-Leibler divergence indicator. Unfortunately, [20][21][22][23][24] only consider the simple always attack, such as always yes/no/false attack, but in fact, for a rational MU, the always attack is more aggressive and easily identified by the FC's defense strategy. Otherwise, numerous efforts on Byzantine attack identification and removal for CSS have been made in [25][26] and references therein.…”

Section: Related Workmentioning

confidence: 99%

Throughput and Interference for Cooperative Spectrum Sensing: A Malicious Perspective

2021

KSII TIIS

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Cognitive radio (CR) is a feasible intelligent technology and can be used as an effective solution to spectrum scarcity and underutilization. As the key function of CR, cooperative spectrum sensing (CSS) is able to effectively prevent the harmful interference with primary users (PUs) and identify the available spectrum resources by exploiting the spatial diversity of multiple secondary users (SUs). However, the open nature of the cognitive radio networks (CRNs) framework makes CSS face many security threats, such as, the malicious user (MU) launches Byzantine attack to undermine CRNs. For this aim, we make an in-depth analysis of the motive and purpose from the MU's perspective in the interweave CR system, aiming to provide the future guideline for defense strategies. First, we formulate a dynamic Byzantine attack model by analyzing Byzantine behaviors in the process of CSS. On the basis of this, we further make an investigation on the condition of making the fusion center (FC) blind when the fusion rule is unknown for the MU. Moreover, the throughput and interference to the primary network are taken into consideration to evaluate the impact of Byzantine attack on the interweave CR system, and then analyze the optimal strategy of Byzantine attack when the fusion rule is known. Finally, theoretical proofs and simulation results verify the correctness and effectiveness of analyses about the impact of Byzantine attack strategy on the throughput and interference.

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“…For example, detecting attacks, anomalies, and malicious behavior in network security can be analyzed under the game theoretic perspective [1]- [5]. In this direction, the hypothesis testing and the game theory approaches can be utilized together to investigate attacker-defender type applications [6]- [10], multimedia source identification problems [20], and inspection games [21]- [23].…”

Section: B Related Literaturementioning

confidence: 99%

Binary Signaling under Subjective Priors and Costs as a Game

Sarıtaş

Gezici

Yüksel

2018

2018 IEEE Conference on Decision and Control (CDC)

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Many decentralized and networked control problems involve decision makers which have either misaligned criteria or subjective priors. In the context of such a setup, in this paper we consider binary signaling problems in which the decision makers (the transmitter and the receiver) have subjective priors and/or misaligned objective functions. Depending on the commitment nature of the transmitter to his policies, we formulate the binary signaling problem as a Bayesian game under either Nash or Stackelberg equilibrium concepts and establish equilibrium solutions and their properties. In addition, the effects of subjective priors and costs on Nash and Stackelberg equilibria are analyzed. It is shown that there can be informative or non-informative equilibria in the binary signaling game under the Stackelberg assumption, but there always exists an equilibrium. However, apart from the informative and non-informative equilibria cases, under certain conditions, there does not exist a Nash equilibrium when the receiver is restricted to use deterministic policies. For the corresponding team setup, however, an equilibrium typically always exists and is always informative. Furthermore, we investigate the effects of small perturbations in priors and costs on equilibrium values around the team setup (with identical costs and priors), and show that the Stackelberg equilibrium behavior is not robust to small perturbations whereas the Nash equilibrium is.

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Mitigation of Byzantine Attacks on Distributed Detection Systems Using Audit Bits

Cited by 24 publications

References 26 publications

A survey on security issues in cognitive radio based cooperative sensing

A survey on security issues in cognitive radio based cooperative sensing

Throughput and Interference for Cooperative Spectrum Sensing: A Malicious Perspective

Binary Signaling under Subjective Priors and Costs as a Game

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