Taxonomy of security attacks and threats in cognitive radio networks

Abstract

Cognitive radio networks (CRNs) are thought to be the most encouraging solution in enhancing the spectrum utilization and solving the spectrum scarcity, however due to the nature of these intelligent networks and its accessing methods from licensed and unlicensed users, CRNs are exposed to different types of threats and attacks from different malicious users more than traditional wireless networks, which can affect the network availability and performance. In this paper, recent security attacks and threats on CRNs will be investigated and introduced in order to study the security aspects for CRNs that can be used to guard and secure CRNs from the well-known attacks.