DocumentCode :
3235546
Title :
Reputation Aware Collaborative Spectrum Sensing for Mobile Cognitive Radio Networks
Author :
Amjad, Muhammad Faisal ; Aslam, Baber ; Zou, Cliff C.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
fYear :
2013
fDate :
18-20 Nov. 2013
Firstpage :
951
Lastpage :
956
Abstract :
The task of spectrum sensing for Dynamic Spectrum Access in Cognitive Radio Networks (CRNs) is very challenging in the presence of malicious secondary users that may launch Spectrum Sensing Data Falsification (SSDF) attacks. Existing solutions to detect such malicious behaviors cannot be utilized in scenarios where the transmission range of primary users is limited within a small sub-region of the CRN, such as low-power primary user devices like wireless microphones or emergency warning systems for vehicles. In this paper, we present a reputation system that works in the scenarios described above in conjunction with a semi-supervised spatio-spectral anomaly/outlier detection system. This system guarantees protection of incumbent primary users´ communication rights while at the same time making optimal use of the spectrum when it is not used by primary users. Simulation of our proposed scheme under typical network conditions and SSDF attack shows that spectrum decision error rate is reduced to be less than 2% and detection rate of malicious secondary users is up to 95%.
Keywords :
cognitive radio; radio spectrum management; signal detection; telecommunication security; CRN; SSDF attacks; communication rights; dynamic spectrum access; low-power primary user devices; malicious secondary users; mobile cognitive radio networks; reputation aware collaborative spectrum sensing; reputation system; semisupervised spatio-spectral anomaly-outlier detection system; spectrum decision error rate; spectrum sensing data falsification attacks; transmission range; Accuracy; Cognitive radio; Collaboration; Interference; Mobile communication; Sensors; Cognitive Radio Network; Outlier detection; Reputation; SSDF attack;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, MILCOM 2013 - 2013 IEEE
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/MILCOM.2013.165
Filename :
6735746
Link To Document :
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