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Authors: Yuji Waizumi ; Yohei Sato and Yoshiaki Nemoto

Affiliation: Graduate School of Information Sciences, Tohoku University, Japan

Keyword(s): Anomaly Detection, Multiple Network Features, Intrusion Detection System, Principal Component Analysis.

Related Ontology Subjects/Areas/Topics: Internet Technology ; Intrusion Detection and Response ; Web Information Systems and Technologies ; Web Security and Privacy

Abstract: Accuracy of anomaly-based intrusion detection greatly depends on features, the numerical values representing characteristics of network traffic. In order to increase accuracy, it is necessary to choose appropriate features that can correctly detect anomalous events. In this paper, we stress the fact that a specific kind of anomaly changes specific features. We propose a highly accurate and robust intrusion detection system using multiple features. Each feature is used for evaluating anomalous events independently by a statistical detection method. Through experiments, we investigate the accuracy of the proposed scheme.

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Paper citation in several formats:
Waizumi, Y.; Sato, Y. and Nemoto, Y. (2007). A NETWORK-BASED ANOMALY DETECTION SYSTEM USING MULTIPLE NETWORK FEATURES. In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST; ISBN 978-972-8865-77-1; ISSN 2184-3252, SciTePress, pages 410-413. DOI: 10.5220/0001279304100413

@conference{webist07,
author={Yuji Waizumi. and Yohei Sato. and Yoshiaki Nemoto.},
title={A NETWORK-BASED ANOMALY DETECTION SYSTEM USING MULTIPLE NETWORK FEATURES},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST},
year={2007},
pages={410-413},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001279304100413},
isbn={978-972-8865-77-1},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST
TI - A NETWORK-BASED ANOMALY DETECTION SYSTEM USING MULTIPLE NETWORK FEATURES
SN - 978-972-8865-77-1
IS - 2184-3252
AU - Waizumi, Y.
AU - Sato, Y.
AU - Nemoto, Y.
PY - 2007
SP - 410
EP - 413
DO - 10.5220/0001279304100413
PB - SciTePress

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