Computational Intelligence based Intrusion Detection Systems for Wireless Communication

TL;DR

This paper explores the use of computational intelligence techniques to develop adaptive, cognitive intrusion detection systems for wireless networks, addressing security challenges in the pervasive Internet of Things environment.

Contribution

It proposes a novel three-tier architecture for intelligent intrusion detection systems tailored for wireless communication networks.

Findings

Design of an adaptive intrusion detection framework.

Implementation of a three-tier architecture.

Enhanced detection of malicious activities in wireless networks.

Abstract

The emerging trend of ubiquitous and pervasive computing aims at embedding everyday devices such as wristwatches, smart phones, home video systems, autofocus cameras, intelligent vehicles, musical instruments, kitchen appliances etc. with microprocessors and imparts them with wireless communication capability. This advanced computing paradigm, also known as the Internet of Things or cyber-physical computing, leads internet and computing to appear everywhere and anywhere using any device and location. With maximum appreciation and due regards to the evolutionary arc, depth and scope of ceaseless internet utilities, it is equally necessary to envisage the security and data confidentiality challenges posed by the free and ubiquitous availability of internet. This paper analyses the role of computational intelligence techniques to design adaptive and cognitive intrusion detection systems that can efficiently detect malicious network activities and proposes novel three-tier architecture for designing intelligent intrusion detection systems for wireless networks.