Identification and Prevention of Black Hole Attacks on AODV Based MANETs

International Journal of Research and Scientific Innovation (IJRSI) | Volume VI, Issue XI, November 2019 | ISSN 2321–2705

Identification and Prevention of Black Hole Attacks on AODV Based MANETs

Prof V N Jokare, Prof V R Marathe, Prof F M Valsangkar

Department of Electronics and Telecommunication Engineering, N B Navale Sinhgad College of Engineering, Solapur, Maharashtra, India

Abstract- Mobile Ad-hoc Networks (MANETs) allow mobile hosts to initiate communications with each other over a network without an established infrastructure or a central network authority. Because of this, MANETs have dynamic topologies because nodes can easily join or leave the network at any time. From a security design perspective, MANETs are vulnerable to various types of malicious attacks. As are result, Ad-hoc Ondemand Distance Vector (AODV), which is one of the standard MANET protocols, can be attacked by malicious nodes. A black hole attack is one type of malicious attack that can be easily employed against data routing in MANETs. A black hole node replies to route requests rapidly with the shortest path and the highest destination sequence number. The black hole node does not have an active route to a specified destination associated with it and it drops all of the data packets that it receives. This project describes simulation of identification and prevention of Black hole attack on AODV protocol based on MANET. The simulation is carried out with NS-2.35. Three network scenarios are simulated and the performance parameters like average delay, average throughput, packet drop rate and packet delivery rate are analyzed and compared By the simulation it has been evaluated that in flooding attack the routing overhead is more as compared to the black hole attack. This show that the flooding attack can also make system more vulnerable as this causes more consumption of bandwidth, unnecessary battery utilization of devices, clogs the network. The packet delivery ratio in scenario when black node attacked is less and in flooded situation it is greater than black hole attack which shows that more packets are correctly received by the destination in flooding attack as compared to black hole attack Throughput is maximum with detected and prevented black hole attack scenario.

Keywords – Mobile Ad-hoc Network (MANET); Ad-hoc On demand Distance Vector (AODV); Black Hole attack

I. INTRODUCTION

Mobile Ad-hoc Network is a collection of the mobile nodes that is formed without the support of any existing network infrastructure. The MANET is self configurable network, in which nodes connect and disconnect from the other nodes in the network automatically at any point of time.

Read More