Analytical Modelling of Cyber-physical Systems

Paul Tavolato, Christina Tavolato-Wötzl

2019

Abstract

In connection with anomaly detection in cyber-physical systems, we suggest in this paper a new way of modelling large systems consisting of a huge number of sensors, actuators and controllers. We base the approach on analytical methods usually used in kinetic gas theory, where one tries to describe the overall behaviour of a gas without looking at each molecule separately. We model the system as a multi-agent network and derive predictions on the behaviour of the network as a whole. These predictions can then be used to monitor the operation of the system. If the deviation between the predictions and the measured attributes of the operational cyber-physical system is sufficiently large, the monitoring system can raise an alarm. This way of modelling the normal behaviour of a cyber-physical system has the advantage over machine learning methods mainly used for this purpose, that it is not based on the effective operation of the system during a training phase, but rather on the specification of the system and its intended use. It will detect anomalies in the system’s operation independent of its source – may it be an attack, a malfunction or a faulty implementation.

Paper Citation

in Harvard Style

Tavolato P. and Tavolato-Wötzl C. (2019). Analytical Modelling of Cyber-physical Systems.In Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE, ISBN 978-989-758-359-9, pages 685-689. DOI: 10.5220/0007704706850689

in Bibtex Style

@conference{forse19,
author={Paul Tavolato and Christina Tavolato-Wötzl},
title={Analytical Modelling of Cyber-physical Systems},
booktitle={Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE,},
year={2019},
pages={685-689},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007704706850689},
isbn={978-989-758-359-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE,
TI - Analytical Modelling of Cyber-physical Systems
SN - 978-989-758-359-9
AU - Tavolato P.
AU - Tavolato-Wötzl C.
PY - 2019
SP - 685
EP - 689
DO - 10.5220/0007704706850689