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Authors: Sébastien Salva and Elliot Blot

Affiliation: LIMOS - UMR CNRS 6158, Clermont Auvergne University, France

ISBN: 978-989-758-443-5

Keyword(s): Model Learning, Model Checking, Expert System, IoT Software Systems.

Abstract: Most of today’s software systems log events to record the events that have occurred in the past. Such logs are particularly useful for auditing security over time. But, the growing sizes and lack of abstraction of the logs make them difficult to interpret manually. This paper proposes an approach combining model learning and model checking to help audit the security of IoT software systems. This approach takes as inputs an event log and generic security measures described with LTL formulas. It generates one formal model for every component of an IoT system and helps auditors make the security measures concrete in order to check if the models satisfy them. The LTL formula instantiation is semi-automatically performed by means of an expert system and inference rules that encode some expert knowledge, which can be applied again to the same kind of systems with less efforts. We evaluate our approach on 3 IoT systems against 11 security measures provided by the European ENISA institute.

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Paper citation in several formats:
Salva, S. and Blot, E. (2020). Verifying the Application of Security Measures in IoT Software Systems with Model Learning.In Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-443-5, pages 350-360. DOI: 10.5220/0009872103500360

@conference{icsoft20,
author={Sébastien Salva. and Elliot Blot.},
title={Verifying the Application of Security Measures in IoT Software Systems with Model Learning},
booktitle={Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2020},
pages={350-360},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009872103500360},
isbn={978-989-758-443-5},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Verifying the Application of Security Measures in IoT Software Systems with Model Learning
SN - 978-989-758-443-5
AU - Salva, S.
AU - Blot, E.
PY - 2020
SP - 350
EP - 360
DO - 10.5220/0009872103500360

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