Improved Reputation of Soft Fusion Based on Cooperative Spectrum Sensing Defence SSDF Attacks

DOI

10.2991/cimns-16.2016.45How to use a DOI?

Keywords

cooperation spectrum sensing; covariance detection; soft decision fusion; reputation degrees; SSDF attack

Abstract

Aiming at the uncertain factors about behavior of cooperative spectrum sensing technologies, the data fusion center(DFC) receives sensing information from the cognitive user(CU) indiscriminately and make spectrum sensing data falsification(SSDF) attack of a malicious user(MU) using do harm to cooperative spectrum sensing. In this paper, an improved soft fusion algorithm based on reputation was presented. According to CU with different scope of reputation of use different updated guidelines and introduced time attenuation factor. We distribute weighting coefficient of CU based on the reputation to undermine SSDF influence and improved the accuracy of data fusion center. Simulations showed that the improve algorithm can keep the performance of soft fusion in the face of SSDF attacks and improve the security of cooperative spectrum sensing.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhenling Yang
AU  - Yuebin Chen
AU  - Chuanxi Xing
AU  - Jiangfeng Yang
AU  - Ting Zheng
PY  - 2016/09
DA  - 2016/09
TI  - Improved Reputation of Soft Fusion Based on Cooperative Spectrum Sensing Defence SSDF Attacks
BT  - Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
PB  - Atlantis Press
SP  - 181
EP  - 185
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-16.2016.45
DO  - 10.2991/cimns-16.2016.45
ID  - Yang2016/09
ER  -