Dpraodv: A Dyanamic Learning System Against Blackhole Attack in Aodv Based Manet

TL;DR

This paper introduces DPRAODV, a reactive security protocol for AODV-based MANETs that detects and prevents blackhole attacks, improving network security and performance.

Contribution

The paper presents a novel reactive security mechanism, DPRAODV, specifically designed to detect and prevent blackhole attacks in AODV-based MANETs, enhancing security and efficiency.

Findings

DPRAODV effectively detects blackhole attacks in simulations.

The protocol improves overall network performance under attack conditions.

Simulation results show increased packet delivery ratio and reduced delay.

Abstract

Security is an essential requirement in mobile ad hoc networks to provide protected communication between mobile nodes. Due to unique characteristics of MANETS, it creates a number of consequential challenges to its security design. To overcome the challenges, there is a need to build a multifence security solution that achieves both broad protection and desirable network performance. MANETs are vulnerable to various attacks, blackhole, is one of the possible attacks. Black hole is a type of routing attack where a malicious node advertise itself as having the shortest path to all nodes in the environment by sending fake route reply. By doing this, the malicious node can deprive the traffic from the source node. It can be used as a denial-of-service attack where it can drop the packets later. In this paper, we proposed a DPRAODV (Detection, Prevention and Reactive AODV) to prevent security threats of blackhole by notifying other nodes in the network of the incident. The simulation results in ns2 (ver- 2.33) demonstrate that our protocol not only prevents blackhole attack but consequently improves the overall performance of (normal) AODV in presence of black hole attack.