Systemization of Knowledge: Resilience and Fault Tolerance in Cyber-Physical Systems
Rahul Bulusu

TL;DR
This paper unifies two decades of CPS resilience research into a structured taxonomy, revealing common failure patterns, persistent gaps, and guiding future resilient system design.
Contribution
It introduces the Origin-Layer-Effect taxonomy to systematically analyze CPS faults, mapping key systems and identifying critical structural gaps across domains.
Findings
Identification of four key structural gaps in CPS resilience
Mapping of major CPS systems onto the taxonomy
Insights into fault propagation and shared failure pathways
Abstract
Cyber-Physical Systems (CPS) now support critical infrastructure spanning transportation, energy, manufacturing, medical devices, and autonomous robotics. Their defining characteristic is the tight coupling between digital computation and continuous physical dynamics which enables sophisticated autonomy but also creates highly non-linear failure modes. Small disturbances at sensors, firmware, networks, or physical interfaces can propagate through estimation and control pipelines, producing cascading instabilities that defy traditional single-layer reasoning. This Systematization of Knowledge (SoK) unifies nearly two decades of CPS resilience research into a structured Origin-Layer-Effect (OLE) taxonomy. This taxonomy provides a cross-layer lens for understanding how faults arise, how they propagate, and why unrelated CPS failures often share deep structural similarities. By mapping…
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Taxonomy
TopicsSmart Grid Security and Resilience · Safety Systems Engineering in Autonomy · Adversarial Robustness in Machine Learning
