Title
Securing Cognitive Radio Networks with Distributed Trust Management against Belief Manipulation Attacks
Abstract
In Cognitive Radio Networks (CRNs), Cognitive radios (CRs) learn from their environment and adapt to the environment based on their learned beliefs accordingly. Malicious nodes may exploit the cognitive engine of CRs, and conduct belief manipulation attacks to degrade the network performance. In this paper, we address the problem of belief manipulation attacks and develop a distributed trust management strategy to detect and mitigate such attacks in CRNs. Specifically, we first study the impact of malicious behaviors to the network performance, and define trust evaluation metrics to capture malicious behaviors. We then illustrate how to incorporate distributed trust management to mitigate the effectiveness of belief manipulation attacks to enhance the security in CRNs. Performance evaluation results show that the network end-to-end throughput is significantly improved compared to the case when all users are by default trusted to be normal users.
Year
DOI
Venue
2015
10.1109/GLOCOMW.2015.7414012
2015 IEEE Globecom Workshops (GC Wkshps)
Keywords
Field
DocType
securing cognitive radio networks,belief manipulation attacks,CRN,malicious nodes,cognitive engine,distributed trust management strategy,malicious behaviors,network performance,define trust evaluation metrics,capture malicious behaviors
Computer science,Computer security,Computer network,Exploit,Management strategy,Throughput,Cognitive engine,Bit error rate,Network performance,Cognitive radio,Cognitive network
Conference
ISSN
Citations 
PageRank 
2166-0069
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Lei Ding125811.88
Onur Savas200.34
Gahng Seop Ahn300.34
Hongmei Deng450133.12