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A Dynamic Intrusion Detection System Based on Multivariate Hotelling’s T2 Statistics Approach for Network Environments
Joint Authors
Avalappampatty Sivasamy, Aneetha
Sundan, Bose
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The ever expanding communication requirements in today’s world demand extensive and efficient network systems with equally efficient and reliable security features integrated for safe, confident, and secured communication and data transfer.
Providing effective security protocols for any network environment, therefore, assumes paramount importance.
Attempts are made continuously for designing more efficient and dynamic network intrusion detection models.
In this work, an approach based on Hotelling’s T2 method, a multivariate statistical analysis technique, has been employed for intrusion detection, especially in network environments.
Components such as preprocessing, multivariate statistical analysis, and attack detection have been incorporated in developing the multivariate Hotelling’s T2 statistical model and necessary profiles have been generated based on the T-square distance metrics.
With a threshold range obtained using the central limit theorem, observed traffic profiles have been classified either as normal or attack types.
Performance of the model, as evaluated through validation and testing using KDD Cup’99 dataset, has shown very high detection rates for all classes with low false alarm rates.
Accuracy of the model presented in this work, in comparison with the existing models, has been found to be much better.
American Psychological Association (APA)
Avalappampatty Sivasamy, Aneetha& Sundan, Bose. 2015. A Dynamic Intrusion Detection System Based on Multivariate Hotelling’s T2 Statistics Approach for Network Environments. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1079235
Modern Language Association (MLA)
Avalappampatty Sivasamy, Aneetha& Sundan, Bose. A Dynamic Intrusion Detection System Based on Multivariate Hotelling’s T2 Statistics Approach for Network Environments. The Scientific World Journal No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1079235
American Medical Association (AMA)
Avalappampatty Sivasamy, Aneetha& Sundan, Bose. A Dynamic Intrusion Detection System Based on Multivariate Hotelling’s T2 Statistics Approach for Network Environments. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1079235
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079235