تشخیص کاربران مخرب در شبکه های ad hoc رادیو شناختی: یک روش آماری ناپارامتری

Cognitive radio ad hoc networks (CRAHN) operation is based on the reliability of the spectrum sensing. It has been proved that cooperation between secondary users improves the accuracy of the sensing information gathered by the users. However, such cooperation also increases the vulnerability of the network and its exposure to attacks. The paper presents a novel algorithm based on the non-parametric Kruskal–Wallis and Conover–Inman tests to detect and identify the attack of malicious users at the MAC layer. The algorithm, denoted by KWD, does not assume a priori knowledge neither of the activity of the primary channel nor of the existence and the behavior of malicious users.