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AI-Driven Fault Injection Testing: Enhancing System Resilience with Automated Chaos Engineering

发表于 2025-05-08 来源 Asian Journal of Research in Computer Science DOI 10.9734/AJRCOS/2025/V18I6675

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作者

Chhaya Gunawat Rohit Gupta Jay Sunil Nankani

单位

Amazon, California, United States.;Geico, Indiana, United States.;Redfin, California, United States.

摘要

This paper presents a novel approach to enhancing system resilience through AI-driven fault injection testing, leveraging automated chaos engineering. 更多..

Failure Identification Using Model-Implemented Fault Injection with Domain Knowledge-Guided Reinforcement Learning

发表于 2023-02-14 来源 Sensors DOI 10.3390/S23042166

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作者

Moradi Mehrdad Van Acker Bert Denil Joachim

单位

ICT-Department of Applied Engineering Faculty, University of Antwerp, Prinsstraat 13, 2000 Antwerp, Belgium;Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Be展开

ICT-Department of Applied Engineering Faculty, University of Antwerp, Prinsstraat 13, 2000 Antwerp, Belgium;Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium

摘要

The safety assessment of cyber-physical systems (CPSs) requires tremendous effort, as the complexity of cyber-physical systems is increasing. A well-k 更多..

domain knowledge Fault identification Fault injection reinforcement learning safety assessment signal temporal logic