In recent years, Cyber-Physical Systems (CPS) have been adopted in various sectors such as smart cities, smart industries etc. These types of systems continuously generate a huge amount of data which increasingly attract cyber-crimes. There are several existing approaches produced to overcome these issues by using Blockchain Technology (BT) such as Public, Private, Construme, Hybrid Blockchain-based on CPS applications and Machine Learning (ML) such as Support Vector Machine (SVM), Linear Regression, and Decision Tree etc. With the rapid increase in data size affix with cyber-crimes, such approaches become less effective and therefore necessitate the invention of a more robust and self-trainable approach. In this paper, we presented brief details on ML and BT and how they can be adopted in CPS applications to solve security issues concerning cyber-crimes. The architecture was also presented to depict the proposed method. Moreover, technologies/techniques which can be implemented in CPS applications are discovered such as industrial automation, smart buildings, medical systems, and vehicular systems. We also have some future scope and conclusion.
CITATION STYLE
Abdullahi, M., Alhussian, H., & Aziz, N. (2022). Adaptation of Machine Learning and Blockchain Technology in Cyber-Physical System Applications: A Concept Paper. In Lecture Notes in Electrical Engineering (Vol. 758, pp. 517–523). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-2183-3_48
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