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Authors: Hubert Schölnast 1 ; Paul Tavolato 1 and Philipp Kreimel 2

Affiliations: 1 Institute of IT Security Research, St. Pölten UAS, Matthias-Corvinus-Straße 15, St. Pölten, Austria ; 2 Limes Security GmbH, Hagenberg, Austria

Keyword(s): Anomaly Detection, Industrial Security, Substation Security, Cross-over Data Compression CDC.

Abstract: Anomaly detection in operational communication data of cyber-physical systems is an important part of any monitoring activity in such systems. This paper suggests a new method of anomaly detection named crossover data compression (CDC). The method belongs to the group of information theoretic approaches and is based on the notion of Kullback-Leibler Divergence. Data blocks are compressed by a Sequitur-like algorithm and the resulting grammars describing the compression are applied cross-over to the all the other data blocks. Divergences are calculated from the length of the different compressions and the mean values of these divergences are used to classify the data in normal and anomalous. The paper describes the method in detail and shows the results derived from a real-world example (communication data from a substation).

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Paper citation in several formats:
Schölnast, H.; Tavolato, P. and Kreimel, P. (2020). Anomaly Detection in Communication Networks of Cyber-physical Systems using Cross-over Data Compression . In Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-399-5; ISSN 2184-4356, SciTePress, pages 498-505. DOI: 10.5220/0008964104980505

@conference{icissp20,
author={Hubert Schölnast. and Paul Tavolato. and Philipp Kreimel.},
title={Anomaly Detection in Communication Networks of Cyber-physical Systems using Cross-over Data Compression },
booktitle={Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP},
year={2020},
pages={498-505},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008964104980505},
isbn={978-989-758-399-5},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP
TI - Anomaly Detection in Communication Networks of Cyber-physical Systems using Cross-over Data Compression
SN - 978-989-758-399-5
IS - 2184-4356
AU - Schölnast, H.
AU - Tavolato, P.
AU - Kreimel, P.
PY - 2020
SP - 498
EP - 505
DO - 10.5220/0008964104980505
PB - SciTePress

- Science and Technology Publications, Lda.
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