Design and Implementation of Intrusion Detection and Response Model to Enhance Security in Cognitive Radio Networks

다국어 초록 (Multilingual Abstract)

With the rapid proliferation of new technologies and services in the wireless domain, spectrum scarcity has become a major concern. Cognitive radios arose as a promising solution to the scarcity of spectrum. They are expected to bring evolution to the spectrum scarcity problem through intelligent use of the fallow spectrum bands. However, as cognitive radio networks (CRNs) are wireless in nature, they face new security threats and challenges that have arisen due to their unique cognitive (self-configuration, self-healing, and self-optimization) characteristics. Because of these new security threats, the use of traditional security measures would be inadequate to address the challenges. Consequently, this research paper presents an intrusion detection and response model (IDRM) to enhance security in cognitive radio networks. Intrusion detection monitors all the activities in order to detect intrusions. It searches for security violation incidents, recognizes unauthorized accesses, and identifies information leakages. Unfortunately, system dministrators can neither keep up with the pace at which an intrusion detection system delivers responses and alerts, nor can they react within adequate time limits. Therefore, an automatic response system has to perform these tasks by reacting without human intervention within the cognitive radio network, which is the main goal of this research paper.

목차 (Table of Contents)

• Abstract
• Introduction
• CRN Architecture
• IDRM Requirement Analysis
• Intrusion Detection and Response Model
• Model Implementation Phase
• Conclusion
• References