loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Aly El–Semary ; Janica Edmonds ; Jesús González and Mauricio Papa

Affiliation: Center for Information Security, University of Tulsa, United States

Keyword(s): Fuzzy logic, data mining, intrusion detection.

Related Ontology Subjects/Areas/Topics: Advanced Applications of Fuzzy Logic ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems

Abstract: This paper describes an implementation of a fuzzy inference engine that is part of a Hybrid Fuzzy Logic Intrusion Detection System. A data-mining algorithm is used offline to capture features of interest in network traffic and produce fuzzy-logic rules. Using an inference engine, the intrusion detection system evaluates these rules and gives network administrators indications of the firing strength of the ruleset. The inference engine implementation is based on the Java Expert System Shell (Jess) from Sandia National Laboratories and FuzzyJess available from the National Research Council of Canada. Examples and experimental results using data sets from MIT Lincoln Laboratory demonstrate the potential of the approach.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.216.186.164

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
El–Semary, A.; Edmonds, J.; González, J. and Papa, M. (2005). IMPLEMENTATION OF A HYBRID INTRUSION DETECTION SYSTEM USING FUZZYJESS. In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 972-8865-19-8; ISSN 2184-4992, SciTePress, pages 390-393. DOI: 10.5220/0002524203900393

@conference{iceis05,
author={Aly El–Semary. and Janica Edmonds. and Jesús González. and Mauricio Papa.},
title={IMPLEMENTATION OF A HYBRID INTRUSION DETECTION SYSTEM USING FUZZYJESS},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2005},
pages={390-393},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002524203900393},
isbn={972-8865-19-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - IMPLEMENTATION OF A HYBRID INTRUSION DETECTION SYSTEM USING FUZZYJESS
SN - 972-8865-19-8
IS - 2184-4992
AU - El–Semary, A.
AU - Edmonds, J.
AU - González, J.
AU - Papa, M.
PY - 2005
SP - 390
EP - 393
DO - 10.5220/0002524203900393
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic