Modeling Cyber Threats In Autonomous Guided Vehicles Using Mean Field Models
Autonomous Guided Vehicles are one of the hottest research and industrial topics, with applications spanning from alternative transport, security and logistic. However, safety and security is usually one of the main concerns in this type of technology, limiting their application and introduction. In this paper we will consider the effects that a malicious user can cause on the system, and we propose an analysis technique based on a mean-field model, to be able to quickly obtain estimates of the consequences of an attack, and the impact of the counter-measures.
Authors
- Mauro Iacono (ORCID: https://orcid.org/0000-0002-2089-975X)
- Enrico Barbierato (ORCID: https://orcid.org/0000-0003-1466-0248)
- Serena Curzel (ORCID: https://orcid.org/0000-0002-8202-1627)
- Alice Gatti (ORCID: https://orcid.org/0009-0008-8422-8024)
- Marco Gribaudo (ORCID: https://orcid.org/0000-0002-1415-5287)
Publication Details
- Published
- 2025-06-24
- DOI
- https://doi.org/10.7148/2025-0613
- Primary Topic
- Adversarial Robustness in Machine Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Università Cattolica del Sacro Cuore
- Università degli Studi della Campania Luigi Vanvitelli
- Horizon 2020 Framework Programme