Abstract
In this paper we present a method to diagnose and mitigate against primary user emulation attacks (PUEA) in cognitive radio networks. We develop a hybrid algorithm that uses a combination of compressed sensing and belief propagation to identify and combat PUEAs. We propose to use compressive sensing in the fusion centre to localise a primary user, the distribute the primary user location to secondary users in order to establish theoretical data for comparison and then use a variant of belief propagation at each secondary user to diagnose primary user emulation attacks. Using a central-distributed hybrid approach ensure that our algorithm is highly adaptable, accurate and simple to implement.
Original language | English |
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Title of host publication | International Conference on Signals and Systems (ICSigSys) 2017 : proceedings |
Place of Publication | Piscataway, NJ, USA |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 29-34 |
Number of pages | 6 |
ISBN (Electronic) | 9781509067480 |
ISBN (Print) | 9781509067497 |
DOIs | |
Publication status | Published - 30 Jun 2017 |
Event | 1st IEEE International Conference on Signals and Systems, ICSigSys 2017 - Bali, Indonesia Duration: 16 May 2017 → 18 May 2017 |
Other
Other | 1st IEEE International Conference on Signals and Systems, ICSigSys 2017 |
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Country | Indonesia |
City | Bali |
Period | 16/05/17 → 18/05/17 |