Visible to the public A Distributed Intrusion Detection System for Cognitive Radio Networks Based on Evidence Theory

TitleA Distributed Intrusion Detection System for Cognitive Radio Networks Based on Evidence Theory
Publication TypeConference Paper
Year of Publication2017
AuthorsWang, M., Li, Z., Lin, Y.
Conference Name2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
ISBN Number978-1-5386-2072-4
KeywordsBase stations, Cognitive radio, cognitive radio networks, Cognitive Radio Security, cooperative detection center, CRN, D-S evidence theory, Data collection, Dempster-Shafer evidence theory, Dempster-Shafer's evidence theory, distributed intrusion detection system, IDS Agent, inference mechanisms, Intrusion detection, local detection decisions, local IDS agent, pubcrawl, reliability, Resiliency, Safety, security of data, Sensors, telecommunication computing, uncertainty handling
Abstract

Reliable detection of intrusion is the basis of safety in cognitive radio networks (CRNs). So far, few scholars applied intrusion detection systems (IDSs) to combat intrusion against CRNs. In order to improve the performance of intrusion detection in CRNs, a distributed intrusion detection scheme has been proposed. In this paper, a method base on Dempster-Shafer's (D-S) evidence theory to detect intrusion in CRNs is put forward, in which the detection data and credibility of different local IDS Agent is combined by D-S in the cooperative detection center, so that different local detection decisions are taken into consideration in the final decision. The effectiveness of the proposed scheme is verified by simulation, and the results reflect a noticeable performance improvement between the proposed scheme and the traditional method.

URLhttps://ieeexplore.ieee.org/document/8004320
DOI10.1109/QRS-C.2017.44
Citation Keywang_distributed_2017