A Survey on Intrusion Detection Systems

Shivendu Dubey; Neha Tripathi

doi:10.32628/IJSRSET15162

A Survey on Intrusion Detection Systems

Authors(2) :-Shivendu Dubey, Neha Tripathi

With the advent of anomaly based intrusion detection systems, many approaches and techniques have been developed to track novel attacks on the systems. Though anomaly based approaches are efficient, signature based detection is preferred for mainstream implementation of intrusion detection systems. As a variety of anomaly detection techniques were suggested, it is difficult to compare the strengths, weaknesses of these methods. The reason why industries don?t favor the anomaly based intrusion detection methods can be well understood by validating the efficiencies of the all the methods. To investigate this issue, the current state of the experiment practice in the field of anomaly based intrusion detection is reviewed and survey recent studies in this. This paper contains summarization study and identification of the drawbacks of formerly surveyed works.

Authors and Affiliations

Shivendu Dubey
Gyan Ganga Institute of Technology & Science, Jabalpur, Madhya Pradesh, India
Neha Tripathi
Gyan Ganga Institute of Technology & Science, Jabalpur, Madhya Pradesh, India

Intrusion Detection, Anomaly-based Detection, Signature-based detection

M. Bahrololum and M. Khaleghi, “Anomaly Intrusion Detection System Using Hierarchical Gaussian Mixture Model” IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.8, August 2008
Jiankun Hu and Xinghuo Yu, “A Simple and Efficient Hidden Markov Model Scheme for Host-Based Anomaly Intrusion Detection” IEEE Network Journal, Volume 23 Issue 1, January/February 2009
R. Nakkeeran, T. Aruldoss Albert and R.Ezumalai, “Agent Based Efficient Anomaly Intrusion Detection System in Ad-hoc networks” IACSIT International Journal of Engineering and Technology Vol. 2, No.1, February, 2010
Jiong Zhang and Mohammad Zulkernine, “Anomaly Based Network Intrusion Detection with Unsupervised Outlier Detection” IEEE International Conference on Communications, 2006.
Ahmed Awad E. Ahmed, and Issa Traore, “Anomaly Intrusion Detection based on Biometrics”, IEEE Workshop on Information Assurance 2005
Vijay Bhuse, Ajay Gupta, “Anomaly Intrusion Detection in Wireless Sensor Networks” ACM Journal of High Speed Networks, 2006
Hossein M. Shirazi,”Anomaly Intrusion Detection System Using Information Theory, K-NN and KMC Algorithms”, Australian Journal of Basic and Applied Sciences, 3(3): 2581-2597, 2009
Dayu Yang, Alexander Usynin, and J. Wesley Hines, “Anomaly-Based Intrusion Detection for SCADA Systems” IAEA Technical Meeting on Cyber Security of NPP I&C and Information systems, Idaho Fall, ID, Oct. 2006
M.Thangavel, Dr. P.Thangaraj and K.Saravanan, “Defend against Anomaly Intrusion Detection using SWT Mechanism” IACSIT, 2010
Miao Wang, Cheng Zhang and Jingjing, “Native API Based Windows Anomaly Intrusion Detection Method Using SVM” IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, 2006
Manikopoulos.C and Papavassiliou.S, “Network Intrusion and Fault Detection: A Statistical Anomaly Approach” IEEE Communications, 2002.
Jeyanthi Hall, Michel Barbeau, Evangelos Kranakis, “Using Mobility Profiles for Anomaly-based Intrusion Detection in Mobile Networks” IEEE Conference, 2005.
Hazem M. El-Bakry, Nikos MastorakisA, “Real-Time Intrusion Detection Algorithm for Network Security,WSEAS Transactions on communications, Issue 12, Volume 7, December 2008.
Debar.H, Dacier.M and Wespi.A, “A Revised Taxonomy of Intrusion-Detection Systems” Annales des Telecommunications 55(7–8) (2000) 361–378
Allen.J, Christie.A, Fithen.W, McHugh.J, Pickel.J, Stoner.E, “State of the practice of intrusion detection technologies” Technical Report CMU/SEI-99TR- 028, Carnegie-Mellon University - Software Engineering Institute (2000).
Roesch.M, “Snort - Lightweight Intrusion Detection for Networks” 13th USENIX Conference on System Administration, USENIX Association (1999) 229–238
Sourcefire: Snort Network Intrusion Detection System web site (1999) URL http://www.snort.org.
Wang. K and Stolfo.S.J, “Anomalous Payload-Based Network Intrusion Detection” 7th Symposium on Recent Advances in Intrusion Detection, Volume 3224 of LNCS., Springer-Verlag (2004) 203–222
Bolzoni.D, Zambon.E., Etalle.S, Hartel.P, “POSEIDON: a 2-tier Anomaly based Network Intrusion Detection System”IEEE International Workshop on Information Assurance, IEEE Computer Society Press (2006) 144– 156.
B.Pfahringer, "Winning the KDD99 Classification Cup: Bagged Boosting," in SIGKDD Explorations, 2000.
I. Levin, "KDD-99 Classifier Learning Contest: LLSoft‟s Results Overview" SIGKDD Explorations, 2000.
V. Miheev, Vopilov.A and Shabalin.I., "The MP13 Approach to the KDD‟99 Classifier Learning Contest" SIGKDD Explorations, 2000.

Publication Details

Published in : Volume 1 | Issue 6 | November-December 2015
Date of Publication : 2015-12-25
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 29-40
Manuscript Number : IJSRSET15162
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Shivendu Dubey, Neha Tripathi, " A Survey on Intrusion Detection Systems, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 6, pp.29-40, November-December-2015.
Journal URL : http://ijsrset.com/IJSRSET15162

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Manuscript Number : IJSRSET15162

A Survey on Intrusion Detection Systems