Improving The Packet Transmission Performance In Manet By Detecting And Preventing Jelly Fish Attack

Abstract

The MANET would soon replace existing wireless technology, due to its easy to deploy and bare minimum infrastructure requirement and dynamic topology. Emergence of faster high-speed hand held mobile device, mail delivery drones, drone camera footage of live cricket match etc. have reserved MANET in the reach of common man. There for it is imperative to address ubiquitous issue existing in MANET. These are safeguard from attacks by intruder nodes, consideration of tradeoffs between speed and efficient communication and selection of reliable and secure network paradigm. Analysis of the mobile ad hoc networks system from security stand point is crucial in order to construct a robust and counteractive system. MANETs are surrounded by various attacks, each with different behavior and aftermaths. One of the serious attacks that affect the normal work of MANET is DoS attack. One of DoS is jellyfish attack, which is quite hard because of its foraging behavior and exploit the behavior of closed loop k2protocol and disturb the communication process without disobeying any protocol rules, thus the detection process becomes challenging. Consequently, traffic is disrupted leading to degradation in network throughput which degrades over all network performance. The jellyfish attack is regarded as one of the most difficult attack to detect and degrade the overall network performance. In order to mitigate jellyfish attack in MANET this paper propose a novel technique called holding period foundation and accurately detecting and preventing jellyfish attack node in the path. Support vector machine is utilized for learning packet forwarding behavior. The proposed technique chooses the node in the network for performing routing of packet on the bases of hierarchical trust evaluation property of node. The technique is tested using NS2 simulator algorithms using various parameters; throughput, packet deliver ratio, end to end delay. The result proves that finding holding period for detecting and preventing jellyfish attack node is highly efficient in jellyfish attack detection and also perform well as compared to another algorithm.