Issue |
ITM Web Conf.
Volume 76, 2025
Harnessing Innovation for Sustainability in Computing and Engineering Solutions (ICSICE-2025)
|
|
---|---|---|
Article Number | 03005 | |
Number of page(s) | 9 | |
Section | IoT & Edge Computing | |
DOI | https://doi.org/10.1051/itmconf/20257603005 | |
Published online | 25 March 2025 |
Cyber-Physical Systems Security Protecting Critical Infrastructure from Cyber Threats and Attacks
1 CEO MahaaAi Group of Companies and International Labs, Dallas Texas, USA
2 Assistant Professor, Data science and Business Systems, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamilnadu, India
3 Assistant Professor, Department of Computer Science and Engineering (CS), CVR College of Engineering, Hyderabad, India
4 Professor, Department of CSE, J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
5 Department of Electronic and Telecommunication Engineering, International Islamic University Chittagong, Chittagong, Bangladesh
6 Assistant Professor, Department of IT, New Prince Shri Bhavani College of Engineering and Technology Chennai, Tamil Nadu, India
Narender.chinthamu@gmail.com
shobanaj1@srmist.edu.in
kmanasa44@gmail.com
jjcetrevathi.cse@gmail.com
szrashidcce@yahoo.com
jansirani.d@newprinceshribhavani.com
Cyber-Physical Systems (CPS) are vital of critical infrastructure such as energy, transportation, healthcare, and manufacturing. Increasingly, however, these systems are the target of sophisticated cyber threats, with dire economic and operational implications. The CPS security literature mainly covers theory models and technology-specific security and control measures, but known techniques have low implementation/efficiency/robustness. To address these gaps, in this paper we propose a generalizable, cost-effective, and AI-enabled adaptive security framework by coupling a real-time threat monitoring system with a blockchain-based security and machine learning-enabled intrusion detection model. Real-world attack scenarios, cost-benefit analysis and a supply-chain risk mitigation strategy contribute to improving resilience against ever-evolving cyber threats. The results showcase that the framework enhances cyber resilience, scalability, and adaptability in CPS environments, providing appropriate protection for critical infrastructure. The research provides a field in the making practical, scalable, and economically viable cybersecurity solution to achieve better preparedness for cyberattacks.
Key words: Cyber-Physical Systems / Security of Critical Infrastructures / Cyber threats / Adaptive Cyber Defense / Security of Blockchain
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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