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Authors: Günther Eibl 1 ; Cornelia Ferner 1 ; Tobias Hildebrandt 2 ; Florian Stertz 2 ; Sebastian Burkhart 1 ; Stefanie Rinderle-Ma 2 and Dominik Engel 1

Affiliations: 1 Salzburg University of Applied Sciences, Austria ; 2 University of Vienna, Austria

Keyword(s): Process Mining, Intrusion Detection, Smart Grids, Smart Metering.

Related Ontology Subjects/Areas/Topics: Internet Technology ; Intrusion Detection and Response ; Web Information Systems and Technologies

Abstract: Process mining is a set of data mining techniques that learn and analyze processes based on event logs. While process mining has recently been proposed for intrusion detection in business processes, it has never been applied to smart metering processes. The goal of this paper is to explore the potential of process mining for the detection of intrusions into smart metering systems. As a case study the remote shutdown process has been modeled and a threat analysis was conducted leading to an extensive attack tree. It is shown that currently proposed process mining techniques based on conformance checking do not suffice to find all attacks of the attack tree; an inclusion of additional perspectives is necessary. Consequences for the design of a realistic testing environment based on simulations are discussed.

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Paper citation in several formats:
Eibl, G.; Ferner, C.; Hildebrandt, T.; Stertz, F.; Burkhart, S.; Rinderle-Ma, S. and Engel, D. (2017). Exploration of the Potential of Process Mining for Intrusion Detection in Smart Metering. In Proceedings of the 3rd International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-209-7; ISSN 2184-4356, SciTePress, pages 38-46. DOI: 10.5220/0006103900380046

@conference{icissp17,
author={Günther Eibl. and Cornelia Ferner. and Tobias Hildebrandt. and Florian Stertz. and Sebastian Burkhart. and Stefanie Rinderle{-}Ma. and Dominik Engel.},
title={Exploration of the Potential of Process Mining for Intrusion Detection in Smart Metering},
booktitle={Proceedings of the 3rd International Conference on Information Systems Security and Privacy - ICISSP},
year={2017},
pages={38-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006103900380046},
isbn={978-989-758-209-7},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Information Systems Security and Privacy - ICISSP
TI - Exploration of the Potential of Process Mining for Intrusion Detection in Smart Metering
SN - 978-989-758-209-7
IS - 2184-4356
AU - Eibl, G.
AU - Ferner, C.
AU - Hildebrandt, T.
AU - Stertz, F.
AU - Burkhart, S.
AU - Rinderle-Ma, S.
AU - Engel, D.
PY - 2017
SP - 38
EP - 46
DO - 10.5220/0006103900380046
PB - SciTePress

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