Novel Defense Framework for Cross-layer Attacks in Cognitive Radio Networks

Abstract

AbstractCognitive radio networks are the self-configuring and mainly solve the problem of spectrum utilization. Cognitive radio networks always try to identify Occupied or un-occupied channels for transmission. Cognitive radio networks (CRN’s) are an enabling technology for multiple features like dynamic spectrum access, spectrum sharing, and dynamic allocation. The existing research of security issues in CRN’s mainly considers attacks in individual layers and provides significant solutions but attacker cannot propagates his attacks in single layer. In this work, we designed a cross-layer attack solution, where attackers attack two different layers at a time. The attacks we considered are report false sensing data (RFSD) attack in physical layer and small backoff window (SBW) attack in MAC layer. Simulation results shows that our proposed solutions perform in reducing these two attacks and significantly reduce the attack probability and increase channel utilization by primary users.KeywordsCross-layer attacksFrameworkSecurityCognitive radiosTrust fusion