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Ecology-Based DoS Attack in Cognitive Radio Networks 认知无线网络中基于生态的DoS攻击
Pub Date : 2016-03-03 DOI: 10.1109/SPW.2016.10
Shin-Ming Cheng, Pin-Yu Chen
Cognitive radio technology, which is designed to enhance spectrum utilization, depends on the success of opportunistic access, where secondary users (SUs) exploit spectrum void unoccupied by primary users (PUs) for transmissions. We note that the system behaviors are very similar to the interactions among different species coexisting in an ecosystem. However, SUs of a selfish nature or of misleading information may make concurrent transmissions with PUs for additional incentives, and thus disrupt the entire ecosystem. By exploiting this vulnerability, this paper proposes a novel distributed denial-of-service (DoS) attack where invasive species, i.e., malicious users (MUs), induce originally normal-behaved SUs to execute concurrent transmissions with PUs and thus collapse the cognitive radio network. We adopt stochastic geometry to model the spatial distributions of PUs, SUs, and MUs for the analysis of the mutual interference among them. The access strategy of each SU in the spectrum sharing ecosystem, which evolves with the experienced payoffs and interference, is modeled by an evolutionary game. Based on the evolutionary stable strategy concept, we could efficiently identify the fragile operating region at which normal-behaved SUs are eventually evolved to conduct concurrent transmissions and thus to cause the ruin of the network.
认知无线电技术旨在提高频谱利用率,它取决于机会接入的成功,即辅助用户(su)利用主用户(pu)未占用的频谱空间进行传输。我们注意到,系统行为与生态系统中共存的不同物种之间的相互作用非常相似。然而,具有自私性质或误导性信息的su可能会为了额外的激励而与pu并发传输,从而破坏整个生态系统。通过利用这一漏洞,本文提出了一种新的分布式拒绝服务(DoS)攻击,其中入侵物种,即恶意用户(MUs),诱导原本正常行为的su与pu一起执行并发传输,从而崩溃认知无线电网络。我们采用随机几何模型对pu、su和mu的空间分布进行建模,分析它们之间的相互干扰。在频谱共享生态系统中,各SU的接入策略随经验收益和干扰的变化而演化,并采用演化博弈模型对其进行建模。基于进化稳定策略的概念,我们可以有效地识别出脆弱的工作区域,在该区域,正常行为的单元最终会进化到并发传输,从而导致网络的破坏。
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2016 IEEE Security and Privacy Workshops (SPW)
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