Improved soft fusion-based cooperative spectrum sensing defense against SSDF attacks

Peng, Ting; Chen, Yuebin; Xiao, Jie; Zheng, Yang; Yang, Jiangfeng

doi:10.1109/cits.2016.7546433

Cited by 9 publications

(5 citation statements)

References 7 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].…”

Section: Methods and Research Directions Literaturementioning

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%

“…In Reference [25], Qihang et al calculate and update the RV of SUs to exclude SUs with very low RV. Peng et al consider the credibility of local spectrum sensing (LSS) and assign appropriate weights to nodes based on this credibility in Reference [26]. In Reference [27], the authors regard cooperation as a service quality evaluation process by the average RV of SUs in soft fusion‐based algorithm.…”

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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sequential spectrum sensing against random Byzantine attack in cognitive radio networks

Wu,

He,

Gan

et al. 2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The authors in [29] have explored the interference power in the case of dynamic spectrum access in a cooperative communication scenario. The authors in [30] studied the location of the FC in a cooperative communication system, considering the different power allocations to make the FC location closer to dense clusters. In addition, the authors in [31,32] use adaptive PSO to solve the problem of sensor network power allocation and communication load for automation and Industry 4.0 applications.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Particle Swarm Optimisation based Energy Efficient Dynamic Correlation Behavior of Secondary Nodes in Cognitive Radio Sensor Networks

et al. 2020

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“…In [11] a bilevel thresh holding approach for energy detection is proposed. In [12], an improved soft fusion-based algorithm was proposed. The authors made improvements in the traditional soft fusion algorithm by establishing the reputation mechanism according to the SU's past service qualities.…”

Section: Introductionmentioning

confidence: 99%

A Double Adaptive Approach to Tackle Malicious Users in Cognitive Radio Networks

Khan

Jibran

Koo

et al. 2019

Wireless Communications and Mobile Computing

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Cognitive radio (CR) is being considered as a vital technology to provide solution to spectrum scarcity in next generation network, by efficiently utilizing the vacant spectrum of the licensed users. Cooperative spectrum sensing in cognitive radio network has a promising performance compared to the individual sensing. However, the existence of the malicious users’ attack highly degrades the performance of the cognitive radio networks by sending falsified data also known as spectrum sensing data falsification (SSDF) to the fusion center. In this paper, we propose a double adaptive thresholding technique in order to differentiate legitimate users from doubtful and malicious users. Prior to the double adaptive approach, the maximal ratio combining (MRC) scheme is utilized to assign weight to each user such that the legitimate users experience higher weights than the malicious users. Double adaptive threshold is applied to give a fair chance to the doubtful users to ensure their credibility. A doubtful user that fails the double adaptive threshold test is declared as a malicious user. The results of the legitimate users are combined at the fusion center by utilizing Dempster-Shafer (DS) evidence theory. Effectiveness of the proposed scheme is proved through simulations by comparing with the existing schemes.

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Improved soft fusion-based cooperative spectrum sensing defense against SSDF attacks

Cited by 9 publications

References 7 publications

Sequential spectrum sensing against random Byzantine attack in cognitive radio networks

Sequential spectrum sensing against random Byzantine attack in cognitive radio networks

Adaptive Particle Swarm Optimisation based Energy Efficient Dynamic Correlation Behavior of Secondary Nodes in Cognitive Radio Sensor Networks

A Double Adaptive Approach to Tackle Malicious Users in Cognitive Radio Networks

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