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Telecommunication Systems
Erschienen in: Telecommunication Systems 2/2018

30.05.2017

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

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

Erschienen in: Telecommunication Systems | Ausgabe 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.
Vorheriger Artikel Determining the number of true different permutation polynomials of degrees up to five by Weng and Dong algorithm
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Metadaten
Titel
Anomaly-based framework for detecting dynamic spectrum access attacks in cognitive radio networks
verfasst von
Yaser Jararweh
Haythem A. Bany Salameh
Abdallah Alturani
Loai Tawalbeh
Houbing Song
Publikationsdatum
30.05.2017
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 2/2018
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-017-0329-9

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