Reuse of Byzantine data in cooperative spectrum sensing using sequential detection

Wu, Jun; Song, Tiecheng; Yu, Yue; Hu, Jing

doi:10.1049/iet-com.2019.0696

Cited by 10 publications

(7 citation statements)

References 32 publications

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“…In details, in Reference [9], Zhu et al propose fuzzy weights to assign a weight based on the certainty of the report submitted by SUs and reduce the harm of uncertain reports. In References [10][11][12], Wu et al solve the problem of unreliable global decision and greatly improve the cooperative efficiency by means of reusing malicious reports and delivery-based evaluation. Alkheir et al study the relationship between the reporting time required for sequential reporting in Reference [13].…”

Section: Related Work and Motivationmentioning

confidence: 99%

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: Related Work and Motivationmentioning

confidence: 99%

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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“…In Reference 29, Sharma et al implemented the novel functional encryption technique in the proposed UAV assisted heterogeneous network model for the dense urban area to secure data against different kinds of active and passive attacks such as spoofing, masquerading, impersonating. Motivated by the sequential method, Wu et al proposed sequential CSS to defend against Byzantine attack and reduce the number of samples in support of the accurate decision about the PU status in References 30‐32.…”

Section: Introductionmentioning

confidence: 99%

“…Though the CSS of UAVs have been extensively 22‐24 , the detection delay for the PU is also taken into consideration for CSS in References 25‐29, and the sequential method is used to improve the CSS security and efficiency in References 31‐33, all of the existing methods mentioned above possess respective limitations, such as, how to solve the cooperative mode of spatially located UAVs, what kind of truncation way is adopted in sequential CSS to ensure the sensing performance and throughput, especially under the sensing delay limit. Therefore, designing a quick CSS for CUAVNs still faces a huge challenge.…”

Section: Introductionmentioning

confidence: 99%

Quick cooperative spectrum sensing in cognitive unmanned aerial vehicles networks

Zhang

2022

Trans Emerging Tel Tech

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In cognitive unmanned aerial vehicles (UAVs) networks (CUAVNs), cooperative spectrum sensing (CSS) has been recognized as a key technology to enable UAVs to detect spectrum holes and opportunistically access primary licensed spectrum band without harmful interference. Considering that the location flexibility of flying UAV spectrum sensors makes the collaborative working mode of multiple UAVs difficult to achieve, this article establishes an easy-to-implement intraframe CSS mode by considering the cooperation within the microsensing time slots of a single UAV. On the basis of this, we adopt sequential probability ratio test (SPRT) as the fusion criterion of sensing decisions from microsensing slots to implement quick CSS for multiple channels under the sensing delay limit and make an investigation the achievable throughput of truncated-SPRT for CUAVNs. Due to the uncertainty of the sensing decision number required in SPRT, we further propose a soft truncation (ST) way to terminate SPRT process and further evaluate the global CSS performance. At last, numerical simulation results show that the CSS efficiency of the proposed intraframe CSS outperforms that of the traditional interframe CSS, and the performance of ST-SPRT is also better than hard truncation (HT)-SPRT, in terms of the detection performance and throughput, especially in the multichannel spectrum sensing scenario.

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“…[13][14][15] propose to remove MSUs from the progress of cooperation or to eliminate the destructive influence caused by MSUs. The most popular mechanism for defense against SSDF attacks is the reputation based algorithm [16,17] , where the results of cognitive nodes are compared with the predefined reference and then their reputation values are counted accordingly. On basis of different references, existing reputation based works can be categorized into four classes.…”

Section: Introductionmentioning

confidence: 99%

Joint Spectrum Sensing and Spectrum Access for Defending Massive SSDF Attacks: A Novel Defense Framework

Sun

Guo

et al. 2022

Chinese J of Electronics

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Multiple secondary users (SUs) perform collaborative spectrum sensing (CSS) in cognitive radio networks to improve the sensing performance. However, this system severely degrades with spectrum sensing data falsification (SSDF) attacks from a large number of malicious secondary users, i.e., massive SSDF attacks. To mitigate such attacks, we propose a joint spectrum sensing and spectrum access framework. During spectrum sensing, each SU compares the decisions of CSS and independent spectrum sensing (IndSS), and then the reliable decisions are adopted as its final decisions. Since the transmission slot is divided into several tiny slots, at the stage of spectrum access, each SU is assigned with a specific tiny time slot. In accordance with its independent final spectrum decisions, each node separately accesses the tiny time slot. Simulation results verify effectiveness of the proposed algorithm.

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Reuse of Byzantine data in cooperative spectrum sensing using sequential detection

Cited by 10 publications

References 32 publications

Sequential spectrum sensing against random Byzantine attack in cognitive radio networks

Sequential spectrum sensing against random Byzantine attack in cognitive radio networks

Quick cooperative spectrum sensing in cognitive unmanned aerial vehicles networks

Joint Spectrum Sensing and Spectrum Access for Defending Massive SSDF Attacks: A Novel Defense Framework

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