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DS3: A Dynamic and Smart Spectrum Sensing Technique for Cognitive Radio Networks under denial of service attack

机译:DS3:拒绝服务攻击下认知无线电网络的动态和智能频谱感知技术

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IEEE 802.22 Cognitive Radio Networks (CRN) employ a two-stage quiet period mechanism based on a mandatory Fast Sensing and an optional Fine Sensing stage for Dynamic Spectrum Access (DSA) during every super frame. However, the two-stage spectrum sensing approach presents an opportunity to malicious users where they can launch a smart Denial of Service (DoS) attack by transmitting a very short jamming signal during the fast sensing stage and thus forcing the CRN to carry out fine sensing, thereby wasting spectrum opportunities for honest Secondary Users (SU). In this paper, we present ‘DS3’: A Dynamic and Smart Spectrum Sensing algorithm, which minimizes the effects of jamming as well as noise on the fast sensing phase of DSA. It improves system's efficiency by striking a balance between spectrum utilization by SUs and delay in the detection of Primary Users' (PU) presence on the spectrum, using a dynamic fine sensing decision algorithm with minimal overhead.
机译:IEEE 802.22认知无线电网络(CRN)采用两个阶段的静默期机制,该机制基于在每个超帧期间用于动态频谱访问(DSA)的强制性快速检测和可选的精细检测阶段。但是,两阶段频谱感测方法为恶意用户提供了机会,使他们可以通过在快速感测阶段发送非常短的干扰信号来发起智能拒绝服务(DoS)攻击,从而迫使CRN进行精细感测。 ,从而浪费了诚实的次要用户(SU)的频谱机会。在本文中,我们介绍了“ DS3”:一种动态和智能频谱感应算法,该算法可将干扰和噪声对DSA快速感应阶段的影响降至最低。它使用动态精简决策算法以最小的开销,在SU的频谱利用率与频谱中主要用户(PU)存在的检测延迟之间取得平衡,从而提高了系统效率。

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