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Mitigating spectrum sensing data falsification attack in ad hoc cognitive radio networks
Author(s) -
Rajkumari Roshni,
Marchang Ningrinla
Publication year - 2018
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.3852
Subject(s) - cognitive radio , computer science , computer network , dissemination , node (physics) , wireless ad hoc network , spectrum (functional analysis) , computer security , data mining , wireless , telecommunications , physics , quantum mechanics , structural engineering , engineering
Summary In a cognitive radio ad hoc network, there is no central authority. Hence, distributed collaborative spectrum sensing (CSS) plays a major role in achieving an accurate spectrum sensing result. However, CSS is sensitive to spectrum sensing data falsification (SSDF) attack, in which a malicious user falsifies its local sensing report before disseminating it into the network. To capture such abnormal behavior of a node, we present an approach for detecting SSDF attack based on dissimilarity score. A secondary user (SU) computes the dissimilarity score of its neighbors from the messages received from its h ‐hop neighbors. Further, we also present how the proposed scheme can be used on the sequence of sensing reports to detect and isolate the malicious SUs on the fly.