Paper Info
Title
Anomaly-based framework for detecting dynamic spectrum access attacks in cognitive radio networks.
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.
Year
DOI
Venue
2018
https://doi.org/10.1007/s11235-017-0329-9
Telecommunication Systems
Keywords
Field
DocType
Cognitive radio networks,Dynamic spectrum access attacks,Anomaly-based detection
Rule-based system,Computer science,Robust random early detection,Computer network,Anomaly-based intrusion detection system,Real-time computing,Emulation,Jamming,Intrusion detection system,Network performance,Cognitive radio
Journal
Volume
Issue
ISSN
67
2
1018-4864
Citations 
PageRank 
References 
0
0.34
23
Authors
5
Name
Order
Citations
PageRank
Yaser Jararweh196888.95
Haythem Bany Salameh234238.83
Abdallah Alturani300.34
Lo'ai Ali Tawalbeh48012.34
Houbing Song51771172.26