A New Era for Cyber-Physical Systems: Optimal Integration of AI, ML and Digital Twins


Authors : Manvendra Singh; Amogh Ansh; Ananya Jain; Richa Dubey; Dr. Karthikeyan B

Volume/Issue : Volume 10 - 2025, Issue 5 - May


Google Scholar : https://tinyurl.com/2tdmm5rk

DOI : https://doi.org/10.38124/ijisrt/25may351

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : In an era where the interconnection between the digital and physical realms becomes increasingly complex, the security of cyber-physical systems (CPS) emerges as a crucial challenge. This paper undertakes a comprehensive analysis of journal articles on CPS security, examining the diverse methodologies proposed to fortify these systems against emerging threats. Emphasizing the role of advanced technologies such as artificial intelligence (AI), machine learning (ML), and blockchain, our study showcases their pivotal contributions to enhancing CPS resilience. Central to our analysis is the innovative integration of AI and ML with Digital Twins, a strategy that stands out for its ability to concurrently bolster security and operational efficacy. This study gives further detail a novel application of AI-enhanced Digital Twins, outlining a methodology for its practical implementation. Through this investigation, the aim is to enrich the scholarly dialogue on CPS security, advocating for the strategic use of technological advancements to create smarter, safer, and more efficientsystems.

Keywords : Cyber-Physical Systems (CPS), Artificial Intelligence (AI), Machine Learning (ML), Blockchain Technology, Digital Twins, CPS Security, AI-enhanced Security, Operational Efficiency, Technological Integration.

References :

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In an era where the interconnection between the digital and physical realms becomes increasingly complex, the security of cyber-physical systems (CPS) emerges as a crucial challenge. This paper undertakes a comprehensive analysis of journal articles on CPS security, examining the diverse methodologies proposed to fortify these systems against emerging threats. Emphasizing the role of advanced technologies such as artificial intelligence (AI), machine learning (ML), and blockchain, our study showcases their pivotal contributions to enhancing CPS resilience. Central to our analysis is the innovative integration of AI and ML with Digital Twins, a strategy that stands out for its ability to concurrently bolster security and operational efficacy. This study gives further detail a novel application of AI-enhanced Digital Twins, outlining a methodology for its practical implementation. Through this investigation, the aim is to enrich the scholarly dialogue on CPS security, advocating for the strategic use of technological advancements to create smarter, safer, and more efficientsystems.

Keywords : Cyber-Physical Systems (CPS), Artificial Intelligence (AI), Machine Learning (ML), Blockchain Technology, Digital Twins, CPS Security, AI-enhanced Security, Operational Efficiency, Technological Integration.

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