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Telecommunication Systems
Published in: Telecommunication Systems 2/2018

30-05-2017

Anomaly-based framework for detecting dynamic spectrum access attacks in cognitive radio networks

Authors: Yaser Jararweh, Haythem A. Bany Salameh, Abdallah Alturani, Loai Tawalbeh, Houbing Song

Published in: Telecommunication Systems | Issue 2/2018

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Abstract

Several new attacks have been identified in CRNs such as primary user emulation, dynamic spectrum access (DSA), and jamming attacks. Such types of attacks can severely impact network performance, specially in terms of the over all achieved network throughput. In response to that, intrusion detection system (IDS) based on anomaly and signature detection is recognized as an effective candidate solution to handle and mitigate these types of attacks. In this paper, we present an intrusion detection system for CRNs (CR-IDS) using the anomaly-based detection (ABD) approach. The proposed ABD algorithm provides the ability to effectively detect the different types of CRNs security attacks. CR-IDS contains different cooperative components to accomplish its desired functionalities which are monitoring, feature generation and selection, rule generation, rule based system, detection module, action module, impact analysis and learning module. Our simulation results show that CR-IDS can detect DSA attacks with high detection rate and very low false negative and false positive probabilities.
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Metadata
Title
Anomaly-based framework for detecting dynamic spectrum access attacks in cognitive radio networks
Authors
Yaser Jararweh
Haythem A. Bany Salameh
Abdallah Alturani
Loai Tawalbeh
Houbing Song
Publication date
30-05-2017
Publisher
Springer US
Published in
Telecommunication Systems / Issue 2/2018
Print ISSN: 1018-4864
Electronic ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-017-0329-9

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