Ensemble of Soft Computing Techniques for Intrusion Detection

Deepika Veerwal; Naveen Choudhary

Ensemble of Soft Computing Techniques for Intrusion Detection

Deepika Veerwal * §

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Naveen Choudhary

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Ensemble of Soft Computing Techniques for Intrusion Detection

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Abstract

In the present world scenario network-based computer systems have started to play progressively more vital roles. As a result they have become the main targets of our adversaries. To apply high security against intrusions and attacks, a number of software tools are being currently developed. To solve the problem of intrusion detection a number of pattern recognition and machine learning algorithms has been proposed. The paper states the problem of classifier fusion with soft labels for Intrusion Detection. Performance of Artificial Neural Networks (ANN) and Support Vector Machines (SVM) is presented here. The performance of fusing these classifiers using approaches based on Dempster-Shafer Theory, Average Bayes Combination and Neural Network is proposed. As shown through the experimental results combined classifiers perform better than the individual classifiers.

References

14 Cites in Article

Reference Format

D Anderson,T Lunt,H Javitz,A Tamaru,A Valdes (1995). Detecting unusual program behavior using the statistical component of the nextgeneration intrusion detection expert system (nides).
J Cannady (1998). Artificial neural networks for misuse detection.
L Cordella,R Limongiello,C Sansone (2004). Network intrusion detection by a multi stage classification system.
H Debar,M Becker,D Siboni (1992). A neural network component for an intrusion detection system.
Hervé Debar,Marc Dacier,Andreas Wespi (2000). A revised taxonomy for intrusion-detection systems.
D Denning (1987). An Intrusion-Detection Model.
K Fox,R Henning,J Reed,R Simonian (1990). A Neural Network Approach Towards Intrusion Detection.
G Giacinto,F Roli,L Didaci (2003). Fusion of multiple classifiers for intrusion detection in computer networks.
G Giacinto,R Perdisci,M Delrio,F Roli (2008). Intrusion detection in computer networks by a modular ensemble of one-class classifiers.
Wenke Lee,Salvatore Stolfo (1998). Data Mining Approaches for Intrusion Detection.
Wenke Lee,Salvatore Stolfo,Kui Mok (1998). Mining in a data-flow environment.
R Lippmann (2000). Improving intrusion detection performance using keyword selection and neural networks.
S Mukkamala,A Sung,A Abraham (2005). Intrusion detection using ensemble of soft computing paradigms.
G Rogova,R Menon (1998). Learning in distributed systems for decision making.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Deepika Veerwal, Dr. Naveen Choudhary. 1970. "Ensemble of Soft Computing Techniques for Intrusion Detection". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E13).

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GJCST Volume 13 Issue E13

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Artificial Neural Network decision fusion Intrusion Detection multiple classifier fusion pattern classification

Classification

GJCST-E Classification C.2.0

Submission ReceivedDecember 12, 2012
Peer Review Double Blind
Handling Editor
Accepted January 2, 2013
Published January 15, 2013

Version of record

v1.2

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Deepika Veerwal, Naveen Choudhary, Dharm Singh (PhD/Dr. count: 0)

View Count (all-time): 361

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Publish Date: 2013 01, Tue

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Total Views: 7.5K

Total Downloads: 370

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