Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey

Andreoni, Martin; Lunardi, Willian Tessaro; Lawton, George; Thakkar, Shreekant

doi:10.1109/access.2024.3439363

IEEE Access

2024

DOI: 10.1109/access.2024.3439363

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Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey

Martin Andreoni,

Willian Tessaro Lunardi,

George Lawton

et al.

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2024

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AI-enhanced fault-tolerant control and security in transportation and logistics systems: addressing physical and cyber threats

Fatorachian,

Kazemi

2024

Complex Eng Syst

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Transportation and logistics systems are becoming increasingly complex and critical to modern infrastructure. This paper proposes a novel AI-enhanced fault-tolerant control framework to address the dual challenges of physical malfunctions and cyber threats. By leveraging advanced machine learning algorithms and real-time data analytics, the proposed methodology aims to enhance the reliability, safety, and security of transportation and logistics systems. This research explores the foundations and practical implementations of AI-driven anomaly detection, predictive maintenance, and autonomous response systems. The findings demonstrate significant improvements in system resilience and robustness, making a substantial contribution to the field of intelligent transportation management.

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AI-enhanced fault-tolerant control and security in transportation and logistics systems: addressing physical and cyber threats

Fatorachian,

Kazemi

2024

Complex Eng Syst

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Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey

Cited by 1 publication

References 89 publications

AI-enhanced fault-tolerant control and security in transportation and logistics systems: addressing physical and cyber threats

AI-enhanced fault-tolerant control and security in transportation and logistics systems: addressing physical and cyber threats

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