A survey on security attacks and countermeasures with primary user detection in cognitive radio networks



Currently, there are several ongoing efforts for the definition of new regulation policies, paradigms, and technologies aiming a more efficient usage of the radio spectrum. In this context, Cognitive Radio (CR) emerges as one of the most promising players by enabling the dynamic access to vacant frequency bands on a non-interference basis. However, the intrinsic characteristic of CR opens new ways for attackers, namely in the context of the effective detection of incumbent or primary users, the most fundamental and challenging requirement for the successful operation of CR networks. In this article, we provide a global and integrated vision of the main threats affecting CR environments in the context of the detection of primary users, with a particular focus on spectrum sensing data falsification and primary user emulation attacks. We also address solutions and research challenges still required to address such threats. Our discussion aims at being complete and self-contained, while also targeting readers with no specific background on this important topic of CR environments. It is, as far as our knowledge goes, the first work providing a global and clear vision of security threats and countermeasures in the context of primary user detection in CR.


Security in Cognitive Radio, Primary User Detection, Primary User Emulation, Spectrum Sensing Falsification

Related Project

iCIS - Intelligent Computing in the Internet of Services


EURASIP Journal on Information Security, Vol. 2015, #4, April 2015


Cited by

Year 2017 : 2 citations

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Year 2016 : 5 citations

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Year 2015 : 1 citations

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