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
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;
Conference_Titel :
Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2518-1
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2010.5494003