Preventing Black Hole Attack in AODV using timer-based detection mechanism

Abstract

Mobile ad hoc networks (MANET) are collections of self-organizing mobile nodes with dynamic topologies and have no fixed infrastructure. MANET do not have centralized administration, here nodes act as both host as well as router and communicate by forwarding packets for each other in multi hop way, because of the fundamental characteristics like, the open medium, dynamic network topology,lack of centralized monitoring and management these networks are particularly vulnerable to various types of attacks. One of the routing protocol being used for wireless network is Ad hoc on demand distance vector (AODV).Black hole is one of the attack that is launched on AODV. In this attack, the attacker claims the shortest route to the destination and hinders the communication by dropping all the packets. In this paper, a new solution against the Black Hole attack is proposed. This paper demonstrates a timer based detection approach for identifying black hole node. In network layer we proposed a Timer based method to overhear the next node action. The simulation results using EXata-Cyber shows that in a dynamic network most of the malicious nodes can be detected and that results in an improved packet delivery ratio.

Enhanced Performance and Security for Manet’s Against Blackhole Attack Blackhole Attacks

“…In our proposed system we use DSR (Dynamic Source Routing) protocol to overcome the delay by finding the optimal path from original source to destination node excluding the malicious node. N. Choudhary [4] introduced a solution that based on sensing the wireless channel. This approach assigns a max trust value and min trust value to all its neighboring nodes.…”

A Survey on Resisting Blackhole Attacks on MANETS

“…Nidhi Choudary [12] in the year 2015 proposed a solution to detect the malicious node or attacker by using timer based detection. In this method each node defines a trust value for its neighbor node and inserts a timer with each packet and if the trust value decreases below the threshold value for any node then all the other nodes will put that node in their blacklist.…”

Anti-Black Hole Attack Mechanism for Ad Hoc On-Demand Distance Vector (AODV) Routing Protocol in Manets

“…This method is not so efficient in terms of End-to-End delay and energy conservation. Choudhary and Tharani [21] proposed a mechanism in order to prevent black hole attack in AODV based on "Timer Based Detection". Initially, each node in the network defines the max trust value to all its neighbor nodes and determines the min trust value allowable.…”