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A New Secure Fuzzy Logic based Black Hole Attack Prevention System in MANET

by Ira Nath
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 144 - Number 11
Year of Publication: 2016
Authors: Ira Nath
10.5120/ijca2016910237

Ira Nath . A New Secure Fuzzy Logic based Black Hole Attack Prevention System in MANET. International Journal of Computer Applications. 144, 11 ( Jun 2016), 1-4. DOI=10.5120/ijca2016910237

@article{ 10.5120/ijca2016910237,
author = { Ira Nath },
title = { A New Secure Fuzzy Logic based Black Hole Attack Prevention System in MANET },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 144 },
number = { 11 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume144/number11/25220-2016910237/ },
doi = { 10.5120/ijca2016910237 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:47:20.353997+05:30
%A Ira Nath
%T A New Secure Fuzzy Logic based Black Hole Attack Prevention System in MANET
%J International Journal of Computer Applications
%@ 0975-8887
%V 144
%N 11
%P 1-4
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

MANETs are accessible to various attacks [1]. Black hole attack is one kind of routing disturbing attacks [13] and can destroy a MANET partially or totally. In this paper Fuzzy Logic techniques have been used to detect black hole attacks and find out secure routing in wireless ad hoc networks. The proposed heuristic successfully detects the black hole in the network and this information is passed to other nodes also. AODV protocol has been chosen to test our algorithm and NS-3 as the simulation tool. This proposed method is compared with RRAF method [3]. The results of the simulation showed that the performance of the proposed method in this paper is noticeably improved. So, it is feasible that the fuzzy logic algorithm is applied to find out black holes for security purpose in MANET.

References
  1. Bing Wu, Jianmin Chen, Jie Wu, Mihaela Cardei,” A Survey of Attacks and Countermeasures in Mobile Ad Hoc Networks “ Department of Computer Science and Engineering, Florida Atlantic University.
  2. J. Martin, Leo Manickam,”Fuzzy based Trusted Ad hoc On-demand Distance Vector Routing Protocol for MANET”15th International Conference on Advanced Computing and Communications,2007 IEEE.
  3. Golnoosh Ghalavand, Arash Dana,Azadeh Ghalavand,Mahnaz Rezahosieni,”Reliable routing algorithm based on fuzzy logic for Mobile Adhoc Network”,3rd International Conference on Advanced Computer Theory and Engineering(ICACTE),2010 IEEE.
  4. Manoj V, Mohammed Aaqib , Raghavendiran N and Vijayan R,”A Novel Security Framework Using Trust And Fuzzy Logic In Manet”,International Journal of Distributed and Parallel Systems (IJDPS) Vol.3, No.1, January 2012.
  5. Ekta Kamboj, Harish Rohil,”Detection of Black Hole Attack on AODV in MANET Using Fuzzy Logic”,Journal of Current Computer Science and Technology Vol. 1 Issue 6 316-318.
  6. Payal N. Raj, Prashant B. Swadas,anand,”dpraodv: a dyanamic learning system against blackhole attack in aodv based manet”, ijcsi international journal of computer science issues, vol. 2, 2009,ISSN (Online): 1694-0784,ISSN (Printed): 1694-0814.
  7. Gasim Alandjani and Eric E. Johnson,”Fuzzy Routing in Ad Hoc Networks”,IEEE 2003.
  8. Cuirong Wang, Shuyi Chen, Xiaozong Yang ,Yuan Gao,”Fuzzy logic-based dynamic routing management policies for mobile ad hoc networks”,IEEE,2005.
  9. P.S.Banerjee J. Pal Choudhury S. R. Bhadrachaudhuri,“Routing based on Fuzzy Rule Base System and K-Means Clustering in Ad Hoc Wireless Network”,International Journal of Computer Applications (0975 – 8887),Volume 35– No.4, December 2011.
  10. Kulbhushan, Jagpreet Singh,“Fuzzy Logic based Intrusion Detection System against Blackhole Attack on AODV in MANET”,IJCA Special Issue on “Network Security and Cryptography”NSC, 2011.
  11. K. Fall; K. Varadhan, NS notes and documentation, The VINT Project, UC Berkely, LBL, USC/ISI, and Xerox PARC, 1997.
  12. ns-3 Tutorial, Release ns-3.11,ns-3 project, May 25, 2011.
  13. Jiwen Cai,Ping Yi,Jialin Chen, Zhiyang Wag, Ning Liu,”An Adaptive Approach to Detecting Black and Gray Hole Attacks in Ad Hoc Network”,2010 24th IEEE International Conference on Advanced Information Networking and Applications,Perth, Australia April 20-April 23,ISBN: 978-0-7695-4018-4.
  14. S. Garg,V. Bansal,”A New Bandwidth Efficient & Network Dependent On-Demand Routing Protocol For
  15. MANETs”,Int. J. of Adv. Research in Com. Sc. and Software Engg,Vol.2, Issue 7, 2012,ISSN: 2277 128X.
  16. I. Nath, R.Chaki,”BHAPSC: A New Black Hole Attack Prevention System in Clustered MANET”,Int. J. of Adv. Research in Comp. Sc. and Software Engg, Vol. 2, Issue 8, 2012, ISSN: 2277 128X.
  17. S. Zihao, L. Shufen ,“A routing attack detection method for cluster wireless sensor networks”,journal of theoretical and applied information technology,31 august, 2012. Vol. 42, No.2 © 2005 - 2012 JATIT & LLS. All rights reserved. ISSN: 1992-8645, E- ISSN: 1817-3195.
Index Terms

Computer Science
Information Sciences

Keywords

Mobile Ad hoc network AODV protocol Fuzzy Black hole attack.

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