The Design of Byzantine Attack Mitigation Scheme in Cognitive Radio Ad-hoc Networks

Mapunya, Sekgoari Semaka; Velempini, Mthulisi

doi:10.1109/iconic.2018.8601087

Cited by 7 publications

(6 citation statements)

References 11 publications

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“…Sequential detection [9][10][11][12][13][14][15][16][17][18][19] Consensus algorithm [20] Hamming distance [21] Dempster-Shafer evidence theory [22,25] Double adaptive threshold approach [23,24] Soft fusion [26] Beta function [27] Security and privacy [28,29] Green communication [30][31][32][33] Secure spectrum and energy efficiency [34] Game theory [35] Mobility management [36,37] Meanwhile, the reputation mechanism is also widely used to secure the CSS. Mapunya and Velempini propose a method to solve Byzantine attack by isolating the forged report data in Reference [20]. Based on the report history of all SUs, Liu et al calculate the cumulative level of suspiciousness and distinguish between honest users (HUs) and MUs.…”

Section: Methods and Research Directions Literaturementioning

confidence: 99%

“…According to (20), the ith SU's reporting results can be calculated into the likelihood ratio cumulative. It is precisely based on this situation that MUs will not be removed from CRNs in SSS but limited to access the channel through a specific spectrum resource allocation algorithm at the data transmission slot.…”

Section: Dynamic Reporting Waymentioning

confidence: 99%

“…In the past, many efforts have been devoted to studying Byzantine identification and suppression algorithms, such as in References [9–37]. A comprehensive survey on secure CSS can be found in Table 1.…”

Section: Introductionmentioning

confidence: 99%

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Sequential spectrum sensing against random Byzantine attack in cognitive radio networks

Wu,

He,

Gan

et al. 2023

Trans Emerging Tel Tech

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Cognitive radio (CR) technology allows secondary users (SUs) to opportunistically access the licensed spectrum being authorized by the primary users (PUs) and then improves the spectrum utilization. Cooperative spectrum sensing (CSS) is an important component of cognitive radio (CR) technology to detect the PU signal via spatial diversity. However, due to the open facet of CR networks (CRNs), the CSS process may suffer from Byzantine attack where malicious users (MUs) falsify the status information about the PU signal and then cause harmful interference to the PU's communication or selfishly occupy spectrum resources. Otherwise, the cooperative paradigm also results in that multiple SUs need more time to detect the PU signal. The performance and efficiency of CSS will be further degraded due to these two reasons. For this aim, we propose sequential spectrum sensing (SSS) scheme to mitigate the negative impact of Byzantine attack and improve the cooperative efficiency. To this end, encouraged by in‐depth analysis of the blind problem, we formulate a random Byzantine attack model to follow the malicious behaviors from the perspective of MUs. In order to solve the blind problem in the process of the sensing sample fusion, a delivery evaluation mechanism is developed to lay solid foundation for SSS. On this basis, we further evaluate the reputation value (RV) within a sliding window and in order to improve the cooperative efficiency in the reporting stage, we dynamically select the sensing results of the more reliable SUs as the global decision to make a tradeoff between cooperative performance and cooperative efficiency. At last, extensive simulation results show that regardless of the malicious ratio, our proposed SSS only requires 6 samples to provide with 100% detection accuracy in the presence of always attack while also the remarkable performance in the presence of random attack when the malicious ratio exceeds 50%.

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Section: Methods and Research Directions Literaturementioning

confidence: 99%

Section: Dynamic Reporting Waymentioning

confidence: 99%

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Sequential spectrum sensing against random Byzantine attack in cognitive radio networks

Wu,

He,

Gan

et al. 2023

Trans Emerging Tel Tech

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“…The simulations aim to study the behavior and efficiency of the trust model under the Random-Byzantine Attack (RBZ) [19] where the adversary has full control of an authenticated device and can perform arbitrary behavior to disrupt the system. During the simulations, the mean reputation ratio is studied as the main metric to be compared between the public and private communities based on three variables: The number of attackers, the number of entities, and the time (interaction number).…”

Section: Simulation Setupmentioning

confidence: 99%

Composite Multi-dimensional Trust-based Schemes (CMT) for the Threat Information Sharing

Bennaceur

Zouaghi²,

Hammouda

et al. 2022

Preprint

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The trust concept becomes more and more popular by paving its way gradually into the modern field. Thus, it becomes a more alluring and attractive solution to secure and protect information sharing against attackers. Indeed, malicious entities can launch intentionally or unintentionally very harmful attacks against the information sharing process causing network paralysis. In this paper, we propose composite trust-based schemes from the perspective of direct experience and entities’ recommendations to enhance the shared threat information in the public and private communities. Therefore, we introduce a first trust-based model defined by several specific dimensions to improve the security of private/targeted communities. Furthermore, a second trust-based scheme is proposed for the public community where the concept of zero-trust is introduced to enhance the shared critical data inside this open environment. Thus, our proposal reveals a new level of defense against the misbehaving entities by introducing a penalty scheme to punish the malicious and suspicious users and to exempt the attackers with continuous misbehaving from participating in the information sharing process. Extensive simulations demonstrate that the proposed trustbased model provides high stability and resistance in a heavily hostile environment for the public and private communities.

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“…To improve the performance of CR receivers operating at low signal-to-noise ratio (SNR), H. Hsieh et al proposed a sequential test detector based on higher-order statistics for detecting underutilized spectrum in [8]. In [9], S. Mapunya and M. Velempini proposed an extreme studentized consensus CSS to combat the negative effect of greedy attacker. In [10], Y.…”

Section: Related Workmentioning

confidence: 99%

Secure and Efficient Cooperative Spectrum Sensing Against Byzantine Attack for Interweave Cognitive Radio System

2022

KSII TIIS

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Due to increasing spectrum demand for new wireless devices applications, cooperative spectrum sensing (CSS) paradigm is the most promising solution to alleviate the spectrum shortage problem. However, in the interweave cognitive radio (CR) system, the inherent nature of CSS opens a hole to Byzantine attack, thereby resulting in a significant drop of the CSS security and efficiency. In view of this, a weighted differential sequential single symbol (WD3S) algorithm based on MATLAB platform is developed to accurately identify malicious users (MUs) and benefit useful sensing information from their malicious reports in this paper. In order to achieve this, a dynamic Byzantine attack model is proposed to describe malicious behaviors for MUs in an interweave CR system. On the basis of this, a method of data transmission consistency verification is formulated to evaluate the global decision's correctness and update the trust value (TrV) of secondary users (SUs), thereby accurately identifying MUs. Then, we innovatively reuse malicious sensing information from MUs by the weight allocation scheme. In addition, considering a high spectrum usage of primary network, a sequential and differential reporting way based on a single symbol is also proposed in the process of the sensing information submission. Finally, under various Byzantine attack

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The Design of Byzantine Attack Mitigation Scheme in Cognitive Radio Ad-hoc Networks

Cited by 7 publications

References 11 publications

Sequential spectrum sensing against random Byzantine attack in cognitive radio networks

Sequential spectrum sensing against random Byzantine attack in cognitive radio networks

Composite Multi-dimensional Trust-based Schemes (CMT) for the Threat Information Sharing

Secure and Efficient Cooperative Spectrum Sensing Against Byzantine Attack for Interweave Cognitive Radio System

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