A decision‐making approach for detecting the primary user emulation attack in cognitive radio networks

Abstract

Summary Cognitive radio network (CRN) is a promising technology, which enables secondary users to use the free spectrum channels without causing detrimental interference with the primary user (PU). Nevertheless, CRN is subject to numerous cyber attacks that have a negative impact on its performance. Among the CRN attacks, the primary user emulation (PUE) attack is known to be one of the malicious attacks threatening CRN security. Several attacks detection techniques, based on attacker localization, have been investigated in the literature. These techniques include the trilateration, received signal strength indication (RSSI), and network coding approach as well. However, most of these techniques do not consider the uncertainty related to CRN, which can be modeled by a cost function defined as a weighted sum of conditional probabilities. In this paper, a localization technique, relied on a trilateration computation and a Bayesian model, is proposed for PUE position detection purpose under uncertainty conditions assumption. Particularly, the estimation of PUE position is performed through trilateration method based on RSSI at the anchor nodes for the signal coming from either PU or PUE, whereas, the Bayesian decision model, based on a cost function, is involved to check the PU legitimacy. The simulation results show that the decision‐making approach "Security, productivity, Balancing" influences directly the zone of the PUE attack detection.

To mitigate primary user emulation attack trajectory using cognitive single carrier frequency division multiple access approaches: Towards next generation green IoT

“…Ahmadfard and Jamshidi 16 studied a channel hopping‐based defense strategy to avoid (NEP) of the interactions among the multiple cognitive users, and the attacker was obtained using an algorithm at which no throughput increase is possible by the cognitive user deviating from it. Most of the above techniques, however, do not consider the CR network under uncertain conditions 17 …”

“…Most of the above techniques, however, do not consider the CR network under uncertain conditions. 17 The spectral sensing focused on fractal dimension methods to protect against PUEA. It provides a set of assessment guidelines to classify various digital signal modulation types.…”

“…User access to the spectrum/database is restricted via access control. Sensitive/confidential information of users should be protected 12–20 . Cellular wireless networks must improve their capacities as demand for mobile broadband networks grows.…”

“…Sensitive/confidential information of users should be protected. [12][13][14][15][16][17][18][19][20] Cellular wireless networks must improve their capacities as demand for mobile broadband networks grows. One of the most difficult problems in cognitive radio networks (CRN) is the identification of PUEA.…”