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20152026
most citedAnomaly Detection for a Water Treatment System Using Unsupervised Machine Learning

335 citations · 488 across the 24 of their papers we have counts for

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10 papers · 1 filter

cs.CR2026

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems

Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar

Cyber-physical systems often contend with incomplete architectural documentation or outdated information resulting from legacy technologies, knowledge management gaps, and the comp…

cs.CR2026

SafeClaw-R: Towards Safe and Secure Multi-Agent Personal Assistants

Haoyu Wang, Zibo Xiao, Yedi Zhang +2

LLM-based multi-agent systems (MASs) are transforming personal productivity by autonomously executing complex, cross-platform tasks. Frameworks such as OpenClaw demonstrate the pot…

cs.CR2025

Developing a Strong CPS Defender: An Evolutionary Approach

Qingyuan Hu, Christopher M. Poskitt, Jun Sun +1

Cyber-physical systems (CPSs) are used extensively in critical infrastructure, underscoring the need for anomaly detection systems that are able to catch even the most motivated at…

cs.CR2025

Bayesian and Multi-Objective Decision Support for Incident Mitigation in Cyber-Physical Systems

Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar

Cyber-physical systems increasingly rely on interconnected physical and digital systems whose security incidents can escalate rapidly into safety and operational failures. Existing…

cs.CR2024

ACTISM: Threat-informed Dynamic Security Modelling for Automotive Systems

Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar

Evolving cybersecurity threats in complex cyber-physical systems pose significant risks to system functionality and safety. This experience report introduces ACTISM (Automotive Con…

cs.CR2024

Security Modelling for Cyber-Physical Systems: A Systematic Literature Review

Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar

Cyber-physical systems are at the intersection of digital technology and engineering domains, rendering them high-value targets of sophisticated and well-funded cybersecurity threa…