Trust and Fuzzy- Ant Colony Optimization based Intrusion Detection System for Secure Routing of MANET

Mobile Ad-Hoc Network (MANET) is a specific type of wireless network that is infrastructure less, dynamic and self-organizing and self-configuring multi-hop wireless network. Nodes are mobile and therefore nodes can join or leave the network at any time. Routing in Ad-hoc networks is a challenging task due to mobility of nodes. Security in Mobile Ad hoc Network (MANET) is one of the key challenges due to its special features e.g. hop-by-hop communications, dynamic topology, and open network boundary that received tremendous attention by researchers. Traditional security methods are not applicable in MANET due to its special properties. Mobile Ad hoc Networks (MANETs) are vulnerable to various kinds of attacks due to their dynamic nature and lack of a central point of control. In this paper, we propose a hybrid approach named as Trust and Fuzzy-Ant Colony Optimization(TFACOIDS) based Intrusion Detection System for secure routing of MANET. This technique involves the detection of attacker level of the nodes in the network layers such as MAC layer, physical layer and routing layer using fuzzy logic technique. Based on the detected attacker level, the trust value of each node is updated. When source node wants to transmit a data packet to the destination, the route with trustworthy nodes is selected using swarm based ant colony optimization (ACO) technique. By simulation results, we show that proposed technique enhances the secured data communication.