This thesis aims to characterize AI-CPS TD and propose approaches for its identification and repair, and develop and validate an automated tool that supports agentic AI solutions to monitor, govern, and repay AI-CPS TD.
Abstract
Artificial Intelligence (AI) components are increasingly pervasive in several software systems, including Cyber-Physical Systems (CPSs). AI-CPS are used in several domains, including autonomous vehicles, industry, home automation, robotics, and healthcare. Being composed of hardware, AI components, and conventional modules, AI-CPS can exhibit technical debt (TD) that is peculiar and potentially more challenging than that of conventional systems. This thesis aims to characterize AI-CPS TD and propose approaches for its identification and repair. In a first phase, we characterize AI-CPS TD by analyzing AI ecosystems and AI-CPS repositories, as well as interviewing developers. Based on the acquired knowledge, we define approaches to identify and mitigate such TD. Finally, we plan to develop and validate an automated tool that supports agentic AI solutions to monitor, govern, and repay AI-CPS TD.
It is found that traditional risk assessment and testing approaches are insufficient for AI-powered CPS, and a prototype implementation and experimental evaluation are presented along with a case study of protecting a smart manufacturing plant during a ransomware attack using the proposed approach.
Vikram Kulothungan, Deepti Gupta, Raju Dhakal et al.· Italian National Conference...· 0 citations
Alongside its cybersecurity focus, the MAIA-eei module extends the architecture to energy-efficiency monitoring and anomaly detection, enabling analysis and optimisation of plant energy consumption and, more broadly, process optimisation.
A comprehensive review of XAI techniques in industrial cybersecurity, focusing on industrial SOC environments and operational security workflows, and identifies open research directions and opportunities for developing trustworthy, operationally viable, and domain-specific XAI-enabled cybersecurity solutions for indust...
Amr S. Mohamed, Charlotte Fritz, A. M. Saber et al.· 0 citations
Over the last few years, cyber-physical systems (CPSs) have come to play a central role in critical infrastructures, manufacturing, transport, and robotics. As a consequence, their lack of security increasingly affects the physical world, possibly causing material damage, environmental harm, and even loss of life. This...
Ivan Cibrario Bertolotti, Flavio Lombardi· Future Internet· 0 citations
Trends in AI and Social Engineering for Cyber-Physical Systems presents a comprehensive examination of the convergence of Artificial Intelligence (AI), Cyber-Physical Systems (CPS), and social engineering within modern digital infrastructures. The book explores how AI enhances CPS through intelligent automation, predic...
This paper organizes the area into a structured taxonomy along five axes: the de-tection capability targeted, the analysis paradigm employed, the agent archi-tecture, the degree of autonomy, and the evaluation methodology.
Andi Xia· Poster Volume 0008 The 2026...· 0 citations
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