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Authors: M. Esposito 1 ; C. Mazzariello 2 ; F. Oliviero 2 ; S. P. Romano 2 and C. Sansone 2

Affiliations: 1 University of Napoli Federico II; CRIAI, Consorzio Campano di Ricerca per l’Informatica e l’Automazione Industriale, Italy ; 2 University of Napoli Federico II, Italy

Abstract: Pattern recognition is the discipline studying the design and operation of systems capable to recognize patterns with specific properties in data sources. Intrusion detection, on the other hand, is in charge of identifying anomalous activities by analyzing a data source, be it the logs of an operating system or in the network traffic. It is easy to find similarities between such research fields, and it is straightforward to think of a way to combine them. As to the descriptions above, we can imagine an Intrusion Detection System (IDS) using techniques proper of the pattern recognition field in order to discover an attack pattern within the network traffic. What we propose in this work is such a system, which exploits the results of research in the field of data mining, in order to discover potential attacks. The paper also presents some experimental results dealing with performance of our system in a real-world operational scenario.

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Paper citation in several formats:
Esposito, M.; Mazzariello, C.; Oliviero, F.; P. Romano, S. and Sansone, C. (2005). Evaluating Pattern Recognition Techniques in Intrusion Detection Systems. In Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS; ISBN 972-8865-28-7, SciTePress, pages 144-153. DOI: 10.5220/0002575201440153

@conference{pris05,
author={M. Esposito. and C. Mazzariello. and F. Oliviero. and S. {P. Romano}. and C. Sansone.},
title={Evaluating Pattern Recognition Techniques in Intrusion Detection Systems},
booktitle={Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS},
year={2005},
pages={144-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002575201440153},
isbn={972-8865-28-7},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS
TI - Evaluating Pattern Recognition Techniques in Intrusion Detection Systems
SN - 972-8865-28-7
AU - Esposito, M.
AU - Mazzariello, C.
AU - Oliviero, F.
AU - P. Romano, S.
AU - Sansone, C.
PY - 2005
SP - 144
EP - 153
DO - 10.5220/0002575201440153
PB - SciTePress

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