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A Multi-Level Attack-Fault-Graph Analysis of Security and Safety Interactions in Autonomous Vehicles and Metros

Welberg, T.J. (2025) A Multi-Level Attack-Fault-Graph Analysis of Security and Safety Interactions in Autonomous Vehicles and Metros.

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Full Text Status:Access to this publication is restricted
Embargo date:7 July 2027
Abstract:A new model called the Multi-Level Attack-Fault Graph (MLAFG) has recently been introduced, offering a comprehensive approach to identifying safety-security interactions in various systems. Although there is growing interest in the interplay between safety and security in autonomous systems, existing models tend to treat these concerns separately. This research aims to use the MLAFG to analyze both autonomous vehicles and metro systems, facilitating a comparative study to explore their similarities and differences. The analysis will begin with a comparison of the MLAFGs developed for potential cyber-attacks in both systems. Next, a comparison will be made of the MLAFGs designed to protect against potential physical attacks that could affect both systems. The results highlight that while both systems exhibit condition dependencies, their patterns of interdependence and countermeasure strategies differ. These insights demonstrate the potential of MLAFGs and their applicability in further research concerning autonomous systems.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 55 traffic technology, transport technology
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/107527
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