MBDS: MESSAGE AUTHENTICATION CODE (MAC) BASED BLACK HOLE DETECTION SYSTEM INMANET’S

Ms. S. Chaturya, Mrs.Y. Adilakshmi

Abstract


Mobile ad hoc network is a collection of independent mobile nodes that can communicate to each other via radio waves. The mobile nodes can directly communicate to those nodes that are in radio range of each other, whereas others nodes need the help of intermediate nodes to route their packets. These networks are fully distributed, and can work at any place without the aid of any infrastructure. This property makes these networks highly robust.  Security is a major challenge for these networks due to their features of open medium, dynamically changing topologies. The black hole attack is a well known security threat in mobile ad hoc networks. However, it spuriously replies for any route request without having any active route to the specified destination. Sometimes the Black Hole Nodes cooperate with each other with the aim of dropping packets these are known as Cooperative Black Hole attack.

This research work suggests the modification of Ad Hoc on Demand Distance Vector Routing Protocol. we are going to use a mechanism for detecting as well as defending against a cooperative black hole attack. This work suggest Maintenance of Routing Information Table and Reliability checking of a node with MAC address and Sequence Number. This system also decreases the end to end delay and Routing overhead.


References


Satoshi Kurosawa, Hidehisa Nakayama, Nei Kato,Abbas Jamalipour, and Yoshiaki Nemoto, “Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method”, International Journal of Network Security, volume 5, Number 3, 2007, pp 338-346.

S halini Jain, ”Advanced Algorithm for Detection and Prevention of Cooperative Black and Gray Hole Attacks in Mobile Ad Hoc Networks”, 2010 International Journal of Computer Applications (0975 – 8887) Volume 1 – No. 7

KundanMunjal, ShilpaVerma, AdityaBakshi “Cooperative Black Hole Node Detectio by Modifying AODV”,International Journal ofManagement, IT and Engineering, Volume 2, Issue 8, Aug 2012.

Payal N. Raj and Prashant B. Swadas, “DPRAODV: A Dynamic learning system against black hole attack in AODV based MANET”, International Journal of Computer Science Issues(IJCSI), Volume 2, Number 3, 2009, pp 54-59.

Mohammad Al-shurman, Seong-Moo Yoon and Seungjin park, “Black Hole Attack in Mobile Ad Hoc Networks”, ACM Southeast Regional Conference, Proceedings of the 42nd annual southeast regional conference , 2004, pp 96-97.

J. Sen, S.Koilakonda and A.Ukil, “A mechanism for detection of cooperative black hole attack in mobile ad hoc networks”, second international conference on intelligent system, modeling and simulation ,innovation lab, Tata consultancy services ltd. , Kolkata, 25-27 jan 2011.

LathaTamilselvan and V Sankarnarayana, “Prevention of Black Hole Attack in MANET”, Journal of Networks, Volume 3, Number 5, 2008, pp 13-20.

HesiriWeerasinghe“Preventing Cooperative Black Hole Attacks in Mobile Ad Hoc Networks: Simulation Implementation and Evaluation”, Proceedings of the Future Generation Communication and Networking, Volume 2, 2007, pp 362-367.

Chang Wu Yu, Tung-Kuang, Wu, ReiHeng, Cheng and Shun Chao Chang, “A distributed and Cooperative Black Hole Node Detection and Elimination mechanism for Ad Hoc Networks”, PAKDD 2007 International Workshop, May 2007, Nanjing, China, pp 538-549.

Ms. GayatriWahane, Ms. Savita Lonare, “Technique for detection of Cooperative black hole attacks in MANET’S”,international conference on computing, communication and networking technologies, July 4-6, 2013.


Full Text: PDF

Refbacks

  • There are currently no refbacks.




Copyright © 2012 - 2023, All rights reserved.| ijitr.com

Creative Commons License
International Journal of Innovative Technology and Research is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJITR , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.