Cyber-Physical Systems: Challenges and Future Directions

Main Article Content

Abha Abha Mahalwar
Rishabh Sharma

Abstract

Cyber-Physical Systems (CPS) integrate computational algorithms with physical components, enabling advanced functionalities in various domains. This paper explores the challenges and future directions of CPS, focusing on security, safety, privacy, and interoperability. In terms of security, CPS face threats to confidentiality, integrity, and availability, necessitating advancements in intrusion detection, prevention systems, and secure communication protocols. Safety improvements include predictive maintenance and autonomous decision-making systems to enhance reliability and resilience. Privacy-enhancing techniques like anonymization and user-centric controls are crucial for data protection. Interoperability solutions, such as middleware and semantic frameworks, facilitate seamless integration among heterogeneous CPS components. Future directions involve leveraging machine learning and AI for security, integrating digital twins for predictive maintenance, and enhancing user-centric privacy controls. These advancements are vital for the continued development and adoption of CPS in diverse applications.

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How to Cite
Abha Mahalwar, A. ., & Sharma, R. . (2020). Cyber-Physical Systems: Challenges and Future Directions. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(3), 2865–2871. https://doi.org/10.61841/turcomat.v11i3.14651
Section
Research Articles

References

Lee, E. A., Seshia, S. A., & Neuendorffer, S. (2015). Cyber-physical systems: Design challenges. Proceedings of the IEEE, 100(1), 144-162.

World Economic Forum. (2018). Shaping the future of advanced manufacturing and production. Retrieved from https://www.weforum.org/reports/shaping-the-future-of-advanced-manufacturing-and-production

Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239-242.

Sridhar, S., Misra, S., & Reisslein, M. (2018). Cyber-Physical Systems Security: A Survey. IEEE Communications Surveys & Tutorials, 20(4), 3404-3451.

Gupta, A., Tan, G., & Yevtushenko, N. (2018). Cyber-Physical System Security: A Formal Perspective. ACM Transactions on Embedded Computing Systems (TECS), 17(2), 1-27.

Pattinson, M., Schumacher, M., & Sorge, C. (2017). A Survey of Security Challenges in Cyber-Physical Systems. ACM Computing Surveys (CSUR), 50(3), 1-38.

Mense, A., & Strohmeier, A. (2016). Cyber-Physical System Security: A Literature Review. Proceedings of the 2nd International Workshop on Cyber-Physical Systems for Smart Water Networks (CySWater'16).

Chen, J., & Mauw, S. (2015). Formal Modeling and Analysis of Security in Cyber-Physical Systems: A Survey. ACM Computing Surveys (CSUR), 48(1), 1-41.

Goratti, L., & Romano, L. (2019). Fault Tolerance and Resilience in Cyber-Physical Systems: A Survey. ACM Computing Surveys (CSUR), 52(4), 1-33.

Werner, M., & Weiss, G. (2018). Resilience in Cyber-Physical Systems: A Survey. ACM Computing Surveys (CSUR), 51(3), 1-36.

Allen, C., Wallach, W., & Smit, I. (2017). Privacy and Ethical Challenges in Cyber-Physical Systems. ACM Transactions on Cyber-Physical Systems, 1(1), 1-19.

Alaba, F. A., Othman, M., & Hashem, I. A. T. (2017). A Survey on Security and Privacy Issues in Internet-of-Things. Journal of King Saud University-Computer and Information Sciences.

Shen, J., & Wang, Y. (2018). Privacy-Preserving Data Processing in Cyber-Physical Systems: A Survey. ACM Computing Surveys (CSUR), 51(4), 1-34.

Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M. (2018). Ethics of Artificial Intelligence and Robotics. Cambridge Handbook of Artificial Intelligence, eds. F. Dignum, C. G. Funk, 316-334.

Armknecht, F., Bohli, J. M., Karame, G. O., & Maffei, M. (2017). Quantum-secure data aggregation in the smart grid. IEEE Transactions on Smart Grid, 8(2), 596-607.

Dorri, A., Kanhere, S. S., Jurdak, R., & Gauravaram, P. (2019). Blockchain for IoT security and privacy: The case study of a smart home. In 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) (pp. 169-178). IEEE.

Zhang, W., Yan, X., Lu, Y., & He, Q. (2016). Data-driven remaining useful life estimation: A review. Mechanical Systems and Signal Processing, 66, 679-697.

Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018). Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology, 94(9-12), 3563-3576.

Nakamoto, S. (2016). Bitcoin: A peer-to-peer electronic cash system. Retrieved from https://bitcoin.org/bitcoin.pdf

Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399.

Dwork, C., Roth, A., & Naor, M. (2017). The algorithmic foundations of differential privacy. Foundations and Trends® in Theoretical Computer Science, 9(3-4), 211-407.

Duchi, J. C., Jordan, M. I., & Wainwright, M. J. (2019). Privacy-aware learning. Foundations and Trends® in Machine Learning, 9(3-4), 211-407.

Hansen, M., Reidenberg, J. R., & Sachs, M. (2015). Privacy policies as decision-making tools: An evaluation of online privacy notices. Rochester, NY: Social Science Research Network.

Gentry, C. (2009). A fully homomorphic encryption scheme. Stanford University, 2(2.1), 1-20.

Kramer, D., De Meer, H., & Houidi, I. (2017). Middleware for the internet of things: A survey. IEEE Internet of Things Journal, 4(1), 1-20.

Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal