DocumentCode :
1930504
Title :
A Comparison Based Clustering Algorithm to Counter SSDF Attack in CWSN
Author :
Chatterjee, Sukanya ; Chatterjee, Pinaki S.
Author_Institution :
Sch. of Comput. Eng., KIIT Univ., Bhubaneswar, India
fYear :
2015
fDate :
12-13 Jan. 2015
Firstpage :
194
Lastpage :
195
Abstract :
Cognitive Wireless Sensor Networks follow IEEE 802.22 standard which is based on the concept of cognitive radio. In this paper we have studied the Denial of Service (DOS) attack. Spectrum Sensing Data Falsification (SSDF) attack is one such type of DOS attack. In this attack the attackers modify the sensing report in order to compel the Secondary User (SU) to take a wrong decision regarding the vacant spectrum band in other´s network. In this paper we have proposed a similarity-based clustering of sensing data to counter the above attack.
Keywords :
cognitive radio; computer network security; radio spectrum management; wireless sensor networks; CWSN; DOS attack; IEEE 802.22 standard; SSDF attack; cognitive radio; cognitive wireless sensor networks; comparison based clustering algorithm; denial of service attack; secondary user; similarity-based clustering; spectrum sensing data falsification attack; vacant spectrum band; Clustering algorithms; Cognitive radio; Complexity theory; Computer crime; Educational institutions; Sensors; Wireless sensor networks; Cognitive Wireless Sensor Network; Denial of Service attack; Spectrum Sensing Data Falsification attack;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Networks (CINE), 2015 International Conference on
Conference_Location :
Bhubaneshwar
ISSN :
2375-5822
Print_ISBN :
978-1-4799-7548-8
Type :
conf
DOI :
10.1109/CINE.2015.46
Filename :
7053829
Link To Document :
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