Black Hole Attack Detection using Fuzzy Based IDS.

Mohammed AbdelAzim; Hossam El Din Salah; Menas Ibrahim

Author(s)

Mohammed AbdelAzim Engineering Department - Faculty of Engineering - Mansoura University, Egypt

Hossam El Din Salah Engineering Department - Faculty of Engineering - Mansoura University, Egypt

Menas Ibrahim Engineering Department - Faculty of Engineering - Mansoura University, Egypt

Abstract

In the past few years, an evolution in the wireless communication has been emerged, along with the evolution a new type of large potential application of wireless network appears, which is the Mobile Ad-Hoc Network (MANET). Black hole attack considers one of the most affected kind on MANET. Therefore, the use of intrusion detection system (IDS) has a major importance in the MANET protection. In this paper, an optimization of a fuzzy based intrusion detection system is proposed which automate the process of producing a fuzzy system by using an Adaptive NeuroFuzzy Inference System (ANFIS) for the initialization of the FIS and then optimize this initialized system by using Genetic Algorithm (GA). In addition, a normal estimated fuzzy based IDS is introduced to see the effect of the optimization on the system. From this study, it is proven that the optimized proposed IDS perform better that the normal estimated systems.

Publication Details

Page(s) 187-195

DOI DOI not available

Published Journal: International Journal of Communication Networks and Information Security, Volume: 9, Issue: 2, Year: 2017

Request the full text from PASTIC

Keywords

FIS, ANFIS

References

Y.Kim,R.Evans,W. Iversen, 2008."Remote sensing and control of an irrigation system using a distributed wireless sensor network,",IEEE Transactions on Instrumentation and Measurement 57 1379 -1387

Khin, 2014."Impact of Blackhole Attack on Aodv routing Protocol,",International Journal of Information Technology, Modeling and Computing (IJITMC) 2 9 -17

SabarishD,RanjaniC, 2015."Enhanced DSR Protocol for Detection and Exclusion of Selective Black Hole Attack in MANET,",International Journal of Computer Applications 14 32 -35

P.Gowrisankar,N.Srinivasulu, 2013."Design and Implementation of Black-hole Attacks in AODV Routing Protocol for Mobile Ad-hoc Networks,",International Journal of Advanced Research in Computer and Communication Engineering 12 4548 -4553

2011., 32 -37

Dyer , J.,Perez, 2001."Personal Firewalls and Intrusion Detection Systems,",The proceeding of 2nd Australian Information Warfare Security Conference IWAR -

T.Anantvalee,J.Wu, 2007."A Survey on Intrusion Detection in Mobile Adhoc network,",Wireless Network Security 159 -180

Abasikeleş, 2016."A Realistic Modelling of the Sinkhole and the Black Hole Attacks in Cluster-Based WSNs,",International Journal of Electronics and Electrical Engineering 4 74 -78

Z.Al-Haddad,M.Hanoune,A.Mamouni, 2016.A Collaborative Network Intrusion Detection System (C-NIDS,International Journal of Communication Networks and Information Security (IJCNIS) 8 130 -135

O.Eo,E. MM, 2014."A Review of Black Hole and Worm Hole Attack on AODV Routing Protocol in MANET,",International Journal of Engineering Trends and Technology (IJETT) 9 394 -399

M.Wahengbam,N.Marchang, 2012."Intrusion detection in manet using fuzzy logic," The proceeding of Emerging trends and applications in computer science, 189 -192

Balan , E.,Vishnu, 2015."Fuzzy based intrusion detection systems in MANET." In Proceeding Computer Science, 109 -114

Sujatha , R. S.,Bhuvaneswaran, 2012."Design of Genetic Algorithm based IDS for MANET.",In Recent Trends in Information Technology (ICRTIT) 28 -33

Kurosawa, 2007."Detecting Black hole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method." IJ Network Security, 5 338 -346

Yunwu , Wang., 2009."Using Fuzzy Expert System Based on Genetic Algorithms for Intrusion Detection System.",In Information Technology and Applications 2 221 -224

S.Shamshirband,N. B.Anuar,M. L. M. Kiah,A.Patel, 2013.An appraisal and design of a multi-agent system based cooperative wireless intrusion detection computational intelligence technique,Engineering Applications of Artificial Intelligence 26 2105 -2127

S. A.Joshi,V. S.Pimprale, 2013.Network Intrusion Detection System (NIDS) based on data mining,International Journal of Engineering Science and Innovative Technology 2 95 -98

M.Govindarajan,V.Abinaya, 2014.An outlier detection approach with data mining in wireless sensor network,International Journal of Current Engineering and Technology 4 929 -932

Butun , S. D.,Morgera , and R.,Sankar, 2014.A survey of intrusion detection systems in wireless sensor networks,” IEEE Communications Surveys & Tutorials 16 266 -282

Biswas , M.,Sharma , T.,Poddder , and N.,Kar, 2014.An approach towards multilevel and multiagent based intrusion detection system,in Proceedings of the IEEE International Conference on Advanced Communication, Control and Computing Technologies (ICACCCT '14) 1787 -1790

P.Ghosekar,P.Ghorpade, 2010."Mobile ad hoc networking: imperatives and challenges," IJCA Special Issue on “Mobile Ad-hoc Networks”,no. 3 153 -158

E. E.Khin,T.Phyu, 2014."Impact of Black hole Attack on AODV routing Protocol,",International Journal of Information Technology, Modeling and Computing (IJITMC) 2 9 -17

P.Tahmasebi,A.Hezarkhani, 2012."A hybrid neural networksfuzzy logic-genetic algorithm for grade estimation,",Computers & Geosciences 42 18 -27

S.Sahraoui, 2013.Secure Routing Optimization in Hierarchical Cluster-Based Wireless Sensor Networks,International Journal of Communication Networks and Information Security (IJCNIS) 5 178 -185

J.Singh,Kulbhushan, 2011."Fuzzy Logic based Intrusion Detection System against Blackhole Attack on AODV in MANET,",Computing 28 -35

K.Tang,K.Man,Z.Liu,S.Kwong, 1998."Minimal fuzzy memberships and rules using hierarchical genetic algorithms,",IEEE Transactions on Industrial Electronics 45 162 -169

K.Shimojima,T.Fukuda,Y.Hasegawa, 1995."Self-tuning fuzzy modeling with adaptive membership function, rules, and hierarchical structure based on genetic algorithm." Fuzzy sets and systems, 71 295 -309

Rice,August2017, 2006.,“Mathematical statistics and data analysis”. Nelson Education 9 -