DocumentCode
2774364
Title
Defending against Hit-and-Run Attackers in Collaborative Spectrum Sensing of Cognitive Radio Networks: A Point System
Author
Noon, Evan ; Li, Husheng
Author_Institution
Farragut High Sch., Knoxville, TN, USA
fYear
2010
fDate
16-19 May 2010
Firstpage
1
Lastpage
5
Abstract
Collaborative spectrum sensing is an important technique to combat many random factors in cognitive radio systems. However, it is vulnerable to attacks like false reports of spectrum situation. Particularly, a hit-and-run attack policy is proposed in this paper, which cannot be be mitigated by traditional approaches of attacker detection in cognitive radio systems. Motivated by the system of points for penalizing reckless drivers in DMV, a point based attacker detection algorithm is proposed, whose effectiveness is demonstrated by numerical simulations.
Keywords
cognitive radio; numerical analysis; attacker detection; cognitive radio networks; cognitive radio systems; collaborative spectrum sensing; hit-and-run attackers; numerical simulations; Bayesian methods; Cognitive radio; Collaboration; Data mining; Detection algorithms; Licenses; Logic; Numerical simulation; Pre-college programs; Pressing;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st
Conference_Location
Taipei
ISSN
1550-2252
Print_ISBN
978-1-4244-2518-1
Electronic_ISBN
1550-2252
Type
conf
DOI
10.1109/VETECS.2010.5494003
Filename
5494003
Link To Document