Analysis of Intrusion Detection Systems in Industrial Ecosystems

Juan Enrique Rubio; Cristina Alcaraz; Rodrigo Roman; Javier Lopez

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Paper

Analysis of Intrusion Detection Systems in Industrial Ecosystems

Topics: Critical Infrastructure Protection; Intrusion Detection & Prevention

In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 0ICETE, 116-128, 2017 , Madrid, Spain

Authors: Juan Enrique Rubio ; Cristina Alcaraz ; Rodrigo Roman and Javier Lopez

Affiliation: University of Malaga, Spain

Keyword(s): SCADA, Industrial Control, Intrusion Detection, Industry 4.0.

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

Abstract: For an effective protection of all the elements of an industrial ecosystem against threats, it is necessary to understand the true scope of existing mechanisms capable of detecting potential anomalies and intrusions. It is the aim of this article to review the threats that affect existing and novel elements of this ecosystem; and to analyze the state, evolution and applicability of both academic and industrial intrusion detection mechanisms in this field.

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Paper citation in several formats:

Rubio, J.; Alcaraz, C.; Roman, R. and Lopez, J. (2017). Analysis of Intrusion Detection Systems in Industrial Ecosystems. In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - SECRYPT; ISBN 978-989-758-259-2; ISSN 2184-3236, SciTePress, pages 116-128. DOI: 10.5220/0006426301160128

@conference{secrypt17,
author={Juan Enrique Rubio. and Cristina Alcaraz. and Rodrigo Roman. and Javier Lopez.},
title={Analysis of Intrusion Detection Systems in Industrial Ecosystems},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - SECRYPT},
year={2017},
pages={116-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006426301160128},
isbn={978-989-758-259-2},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - SECRYPT
TI - Analysis of Intrusion Detection Systems in Industrial Ecosystems
SN - 978-989-758-259-2
IS - 2184-3236
AU - Rubio, J.
AU - Alcaraz, C.
AU - Roman, R.
AU - Lopez, J.
PY - 2017
SP - 116
EP - 128
DO - 10.5220/0006426301160128
PB - SciTePress