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Secure Software Development Life Cycle: An Approach to Reduce the Risks of Cyber Attacks in Cyber Physical Systems and Digital Twins

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Computational Intelligence in Machine Learning (ICCIML 2022)

Abstract

Digital Twin is an implementation of a physical object or system into a digital space for efficient monitoring and better scalability. It is a virtual representation which acts as a digital counterpart for Cyber Physical Systems or processes in real-time and addresses every instance of its total life cycle. Nevertheless, it also has huge prospects even in the conventional and well-developed industries like agriculture, construction, medicine and automation. By large, it serves as a key example of how the Industry4.0 concept is revolutionizing the industries by facilitating vast numbers of opportunities and efficiencies in them. In this paper, we dig a deep dive into the various risks of cybersecurity associated with Cyber Physical Systems, Digital Twin technology and explore the opportunities of twins protecting themselves. Additionally, we look at the implementation of Secure Software Development Life-Cycle (SSDLC) on Digital Twins and Cyber Physical Systems for mitigating the proposed risks from the very roots.

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Correspondence to Radha Seelaboyina .

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Seelaboyina, R., Vadla, S.P.C., Teerthala, S.A., Pedduri, V.V. (2024). Secure Software Development Life Cycle: An Approach to Reduce the Risks of Cyber Attacks in Cyber Physical Systems and Digital Twins. In: Gunjan, V.K., Kumar, A., Zurada, J.M., Singh, S.N. (eds) Computational Intelligence in Machine Learning. ICCIML 2022. Lecture Notes in Electrical Engineering, vol 1106. Springer, Singapore. https://doi.org/10.1007/978-981-99-7954-7_15

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