DocumentCode :
1552390
Title :
Distributed consensus-based security mechanisms in cognitive radio mobile ad hoc networks
Author :
Tang, Hongying ; Yu, F. Richard ; Huang, Meng ; Li, Zuyi
Author_Institution :
Defense R&D Canada, Ottawa, ON, Canada
Volume :
6
Issue :
8
fYear :
2012
Firstpage :
974
Lastpage :
983
Abstract :
Cognitive radios (CRs), which are capable of sensing its surrounding environment and adapting its internal parameters, have been considered in mobile ad hoc networks (MANETs). The area of security in CR-MANETs has received far less attention than other areas. However, some distinct characteristics of CRs introduce new non-trivial security risks to CR-MANETs. In this article, the authors study spectrum sensing data falsification (SSDF) attacks to CR-MANETs, in which intruders send false local spectrum sensing results in cooperative spectrum sensing, and it will result in wrong spectrum sensing decisions by CRs. The authors present a novel bio-inspired consensus-based cooperative spectrum sensing scheme to counter SSDF attacks in CR-MANETs. Their scheme is based on recent advances in consensus algorithms that have taken inspiration from self-organising behaviour of animal groups such as birds, fish, ants, honeybees and others. Unlike the existing schemes, there is no need for a common receiver to do the data fusion for reaching the final decision to counter SSDF attacks. The scheme has self-configuration and self-maintenance capabilities. Moreover, in order to further improve the security of CR-MANETs, the authors present an authentication scheme using identity (ID)-based cryptography with threshold secret sharing. Simulation results are presented to show the effectiveness of the proposed schemes.
Keywords :
cognitive radio; cryptography; mobile ad hoc networks; signal detection; telecommunication security; MANET; authentication scheme; cognitive radio mobile ad hoc networks; consensus algorithms; cooperative spectrum sensing; distributed consensus based security mechanisms; identity based cryptography; self-organising behaviour; spectrum sensing data falsification attacks;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2010.0553
Filename :
6231142
Link To Document :
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