Intrusion detection in wireless network using fuzzy logic implemented with genetic algorithm

Abstract

This paper suggests how fuzzy logic can be applied to route traffic between two nodes in a wireless network. The main focus of this paper is also to use fuzzy logic, implemented with genetic algorithm, for intrusion detection in the network. As wireless network has unparalleled mobility, it is important for the nodes to re-arrange themselves frequently. Not only this, there are multiple nodes between source and destination that helps to route packets to the destination. So every node acts as a router. There may be delay and packet loss during the transit. Fuzzy logic helps to reduce these drawbacks by clearly configuring the route. Apart from this, fuzzy logic can be implemented using GA for intrusion detection in the network. Intrusion detection broadly deals with how to be aware of network-based and Internet attacks. Firewalls could not properly handle nefarious attacks. This has proved to be very robust and effective with 80% success rate. This paper also suggests how fuzzy logic can be used to address some of the cybersecurity challenges.