Efficient Detection of Location Based Routing Attack by Routing Attack Mitigation in Mobile Agent Systems

Abstract

            New advancements are required to confront new situations because of the quick spread of the Internet. Recent years, PC frameworks have effectively developed from unified solid computing devices supporting static applications, into client-server situations that permit complex types of distributed systems for computing. The present work has been focused on finding out the network attacks happened in mobile agent systems. The proposed work is to detect the location based routing attack by Routing Attack Mitigation Algorithm which is one of the variant of classification based data mining concept. The parameters such as throughput, packet delivery, packet loss and end-to-end delay has been analyzed for evaluation using network simulator. The outcome of all the performance evaluation parameters has been depicted to improve the efficiency of the network.