Malicious User Attack in Cognitive Radio Networks
Abstract: Signal detection in
cognitive radio network (CRN) is influenced by several factors. One of them is malicious
user that emulate primary user (PU) signal. Emulation of PU signal causes
detection error. This paper investigates the impact of malicious user attack to
PU signal detection. A number of malicious usersare randomly deployed around
secondary user (SU) at a certain distance. They attempt to attack primary signal
detection that is transmitted from 100 km to SU receiver. Then, the received
signal power at secondary receiver and the performance of probability of false
alarm and probability of miss detection under two hypothesis of Neyman Pearson
criterion are studied. The derived results show that a number of malicious
users has a significant impact to the performance of received power at SU and
detection error rate.
Keywords: Cognitive Radio, Spectrum
Sensing, Malicious user, Primary User Emulation Attack, Secondary User
Author: N. Armi
Journal Code: jptkomputergg170147
