A method to defense against cooperative SSDF attacks in Cognitive Radio Networks

Author

Li Li ; Fangwei Li ; Jiang Zhu

Author_Institution

Chongqing Key Lab. of Mobile Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China

fYear

2013

fDate

5-8 Aug. 2013

Firstpage

1

Lastpage

6

Abstract

In Cognitive Radio Networks, malicious users collaborate to make the decision about the presence of the primary transmitter and use this information for the attacks. This type of attack is more intelligent to manipulate fusion center to make the wrong decision. We propose a reputation based adaptive clustering algorithm to defense against cooperative SSDF attacks. It is verified that our algorithm can improve the cognitive performance of the system and defense against cooperative SSDF attacks effectively by comparing to current methods.

Keywords

cognitive radio; cooperative communication; radio spectrum management; signal detection; telecommunication security; cognitive radio network; cooperative SSDF attack; fusion center; malicious user; primary transmitter; reputation based adaptive clustering algorithm; spectrum sensing data falsification attacks; Algorithm design and analysis; Clustering algorithms; Cognitive radio; Collaboration; Mathematical model; Security; Sensors; Adaptive Clustering; Cognitive Radio Networks; Cooperative SSDF Attacks; Reputation; Security;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on

Conference_Location

KunMing

Type

conf

DOI

10.1109/ICSPCC.2013.6664013

Filename

6664013