Abstract
Cognitive radio (CR) has become a tempting technology that achieves significant improvement in spectrum utilization. To resolve the hidden terminal problem, collaborative spectrum sensing (CSS), which profits from spatial diversity, has been studied intensively in recent years. As CSS is vulnerable to the attacks launched by malicious secondary users (SUs), certain CSS security schemes based on the Dempster–Shafer theory of evidence have been proposed. Nevertheless, the available works only focus on the real-time difference of SUs, like the difference in similarity degree or SNR, to evaluate the credibility of each SU. Since the real-time difference is unilateral and sometimes inexact, the statistical information comprised in SUs’ historical behaviors should not be ignored. In this paper, we propose a robust CSS method based on evidence theory and credibility calculation. It is executed in four consecutive procedures, which are basic probability assignment (BPA), holistic credibility calculation, option and amelioration of BPA and evidence combination via the Dempster–Shafer rule, respectively. Our scheme evaluates the holistic credibility of SUs from both the real-time difference and statistical sensing behavior of SUs. Moreover, considering that the transmitted data increase with the number of SUs increasing, we introduce the projection approximation approach to adjust the evidence theory to the binary hypothesis test in CSS; on this account, both the data volume to be transmitted and the workload at the data fusion center have been reduced. Malicious SUs can be distinguished from genuine ones based on their historical sensing behaviors, and SUs’ real-time difference can be reserved to acquire a superior current performance. Abounding simulation results have proven that the proposed method outperforms the existing ones under the effect of different attack modes and different numbers of malicious SUs.
Highlights
The frequency spectrum is treated as a valuable resource in the wireless communication field and is rendered inadequate for the increasing number of wireless services
The simulation experiments are conducted in a cognitive radio networks (CRNs) with one licensed user (LU), n = 6 secondary users (SUs) and one data fusion center (DFC), which are considered to run for 10,000 rounds
In order to effectively defense against sensing data falsification (SSDF) attack behaviors from malicious SUs, in this article, we propose a faithworthy collaborative spectrum sensing (CSS) scheme based on the Dempster–Shafer theory of evidence and holistic credibility, including four consecutive procedures, which are basic probability assignment (BPA)
Summary
The frequency spectrum is treated as a valuable resource in the wireless communication field and is rendered inadequate for the increasing number of wireless services. Facing the problem of faulty nodes in CRN, the CSS method in [17] adopts a mutually supportive degree among different sensor nodes to support adapted decision Another evidence theory-based secure CSS scheme is proposed in [18], which employs robust statistics to calculate the distribution parameters of LU’s activity and estimates the SUs’ credibility with a simple counting technique. Wang et al [20] take advantage of the “soft update” approach and evaluate the trustworthiness degree of SUs for enhancing the robustness of the CSS system These existing evidence theory-based CSS methods are not suited for CRNs communications.
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