Smart manufacturing is an evolving form of production, that incorporates manufacturing assets of today and tomorrow with sensors, computing platforms, communication technology, control, simulation, data intensive modelling and predictive engineering. It employs the concepts of cyber-physical systems together with the internet of things, cloud computing, service-oriented computing, artificial intelligence and data science. Once implemented, these concepts and technologies would make smart manufacturing a promising step of the next industrial revolution. The integration of complex smart manufacturing technologies massively increases the scope for attack from adversaries aiming at industrial espionage and sabotage. The potential outcomes of these attacks range from economic damage and lost production, through injury and loss of life, to catastrophic nation-wide effects. System protection from cyber vulnerabilities without compromising the functionalities is needed throughout the manufacturing enterprise.
In this project, I plan to analyze the security of existing industrial and manufacturing systems, existing vulnerabilities, potential future cyber-attacks, the weaknesses of existing measures, the levels of awareness and preparedness for future security challenges. This project undertakes to minimize the cyber-attacks prevalent in smart manufacturing using preventive techniques in the form of prediction, using machine learning and rigorous monitoring. Also, this project envisions for secure data access in smart manufacturing through the use of attribute-based access control technique. Therefore, the implementation of the objectives of this project will definitely provide an enhanced secure and reliable smart manufacturing ecosystem.
Publications
H. A. A. Chaudhary, I. Guevara, J. John, A. Singh, A. Ghosal, D. Pesch, T Margaria, "Model-Driven Engineering in Digital Thread Platforms: A Practical Use Case and Future Challenges," Proc. of Leveraging Applications of Formal Methods, Verification and Validation (ISoLA ), pp. 195-207, LNCS, vol 13704, Oct. 2022.
J. John , A. Ghosal, T. Margaria, D. Pesch, "DSLs and Middleware Platforms in a Model-Driven Development Approach for Secure Predictive Maintenance Systems in Smart Factories", Proc. of Leveraging Applications of Formal Methods, Verification and Validation (ISoLA ), pp. 146-161, LNCS, vol 13036, Oct. 2021.
J. John , A. Ghosal, T. Margaria, D. Pesch, "DSLs for Model Driven Development of Secure Interoperable Automation Systems", Proc. of Forum on Specification & Design Languages (FDL), pp. 1-8, Sept. 2021.
My earlier publications related to my MSCA project:
A. Ghosal, S. Halder, M. Conti, "STRIDE: Scalable and Secure Over-The-Air Software Update Scheme for Autonomous Vehicles," Proc. of 54th IEEE International Conference on Communications (IEEE ICC), pp. 1-6, Jun 2020.