Open AccessNeighbor Detection‐Based Spectrum Sensing Algorithm in Distributed Cognitive Radio Networks
Author(s) -
Pei Qingqi,
Li Hongning,
Liu Xianjun
Publication year - 2017
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.06.018
Subject(s) - cognitive radio , computer science , scheme (mathematics) , spectrum (functional analysis) , computer network , algorithm , computer security , distributed computing , telecommunications , wireless , mathematics , mathematical analysis , physics , quantum mechanics
Security issues of spectrum sensing have drawn a lot of attentions in Cognitive radio networks (CRNs). Malicious users can mislead the network to make wrong decision about the states of channels by tampering spectrum sensing data. To defense against Spectrum sensing data falsification (SSDF) attack, we propose a neighbor detection‐based spectrum sensing algorithm in distributed CRNs, which can detect attackers with the help of neighbors during spectrum sensing to improve the accuracy of decision making. The proposed scheme can also guarantee the connectivity of the network. Simulation results illustrate that the proposed scheme can defense against SSDF attacks effectively and reach the unified information of spectrum sensing data.