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Authors: Ben Soh 1 and Daniel Bonello 2

Affiliations: 1 La Trobe University, Australia ; 2 La Trobe Ubiversity, Australia

Keyword(s): Intrusion Detection, False Alerts, Snort.

Related Ontology Subjects/Areas/Topics: Information and Systems Security ; Intrusion Detection & Prevention

Abstract: In this paper, we propose a new approach to reducing the high levels of false positives encountered when deploying an intrusion detection system using Snort in a real live networking environment. We carry out an analysis of the effectiveness of such method in different networking environments. We conclude that the level of false positives is reduced considerably with the introduction of our implemented pass rules and that the rates at which false positives are generated become manageable.

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Paper citation in several formats:
Soh, B. and Bonello, D. (2004). A NEW REDUCTION METHOD OF INTRUSION DETECTION FALSE ALERTS USING SNORT. In Proceedings of the First International Conference on E-Business and Telecommunication Networks - Volume 2: ICETE; ISBN 972-8865-15-5; ISSN 2184-3236, SciTePress, pages 46-53. DOI: 10.5220/0001397300460053

@conference{icete04,
author={Ben Soh. and Daniel Bonello.},
title={A NEW REDUCTION METHOD OF INTRUSION DETECTION FALSE ALERTS USING SNORT},
booktitle={Proceedings of the First International Conference on E-Business and Telecommunication Networks - Volume 2: ICETE},
year={2004},
pages={46-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001397300460053},
isbn={972-8865-15-5},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the First International Conference on E-Business and Telecommunication Networks - Volume 2: ICETE
TI - A NEW REDUCTION METHOD OF INTRUSION DETECTION FALSE ALERTS USING SNORT
SN - 972-8865-15-5
IS - 2184-3236
AU - Soh, B.
AU - Bonello, D.
PY - 2004
SP - 46
EP - 53
DO - 10.5220/0001397300460053
PB - SciTePress