Title:	ML/AI for securing autonomy and coordination
DNr:	Berzelius-2024-332
Project Type:	LiU Berzelius
Principal Investigator:	Sheng Liu <shengliu@kth.se>
Affiliation:	Kungliga Tekniska högskolan
Duration:	2024-09-10 – 2025-04-01
Classification:	10202
Keywords:

Abstract

The topic of the work is in the broad area of networked system security, with a particular focus on secure and privacy-preserving approaches and technologies for autonomous systems enabled by wireless and mobile communications. The focus will be on solutions that combine cyber and physical properties and focus on data to secure coordination and automation - with vehicles a main use case. The work shall develop, with emphasis on machine learning and artificial intelligence, algorithms, protocols, and mechanisms, analyze their security and privacy and effect on safety, implement and evaluate their performance, and its effect on that of the encompassing system. Different systems will be considered, notably intelligent, connected and autonomous vehicles, as well as embedded or mobile participatory sensing systems.