Detection and prevention of JFPD attack in MANETS Using NBA technique



Abstract

In mobile ad hoc networks, the nodes communicate with each other wirelessly and they are also not under the control of any centralized infrastructure. This unattended nature makes the wireless links and the nodes susceptible to various security concerns. Out of many well-known attacks such as black hole attack, wormhole attack, flooding attack; jellyfish attack is one of lesser explored attacks. The jellyfish attack has been defined with three variants, namely jellyfish delay variance attack, jellyfish packet dropping attack and jellyfish reordering attack. This paper considers detection and prevention scheme for jellyfish packet dropping attack by analyzing the behavior of the nodes. If any node is found to drop packets abnormally greater than threshold value, it is detected as malicious node. The scheme has been simulated in NS2.35. The performance has been compared with AODV under attack and proposed scheme on the basis of packet delivery ratio, throughput and packet drops.

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