CRApr 5

Assessing Cyber Risks in Hydropower Systems Through HAZOP and Bow-Tie Analysis

arXiv:2604.039940.8
AI Analysis

This work addresses cybersecurity challenges for critical infrastructure operators, but it is incremental as it adapts existing safety methods rather than introducing new paradigms.

This paper tackles the problem of cyber risk assessment in hydropower systems by evaluating and extending two established safety methodologies (HAZOP and Bow-Tie analysis) to identify cyber-induced threats. The results show that traditional HAZOP identifies 18 deviations across five control parameters, while the cyber extensions reveal how coordinated attacks can bypass conventional safeguards and compromise shared network infrastructure.

With the widespread use of software systems in critical infrastructures such as hydropower plants has brought many advantages, yet it has exposed these systems to cyber threats. Cyber risk assessment & mitigation is important to identify cyber threats and protect these systems from unwanted incidents. This paper evaluates and compares the two risk assessment methodologies namely Hazard and Operability Study (HAZOP) and BowTie analysis for identifying cyber induced threats in hydropower systems. We selected these two methodologies because they offer a complementary perspective for cyber-safety risk assessment. Each method is first applied in traditional form to identify hazards, barriers, and threat scenarios arising from accidental causes, then extended to examine how findings change under cyber-induced causation. The traditional HAZOP identifies 18 deviations across five control parameters; the cyber extension shows how an adversary can coordinate multiple deviations to produce outcomes that conventional safeguards cannot detect. The BowTie analysis maps preventive and mitigation barriers around a top event; the cyber extension reveals that barriers appearing independently can share network infrastructure a single attacker could compromise, challenging the defense-in-depth assumption. Together, the two methods provide complementary coverage: HAZOP systematically enumerates what can go wrong, while BowTie shows how barriers provide layered protection. The cyber extension applied to both exposes assumptions, independent causes in HAZOP and independent barriers in BowTie, that do not hold against a coordinated adversary. As a result of this study, this paper highlights a practical two-stage approach to adapt established safety methods to identify cybersecurity challenges in hydropower control systems, provides pros and cons of these methodologies, and shows area of applicability.

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