Blockchain and Machine Learning Applications in Overcoming Security Challenges for CPS and IoT Systems

In addition to the Internet of Things (IoT) systems, Cyber-Physical Systems (CPS) are systems where the physical and computational components are integrated in a networked interaction, with an increasing in popularity and evolution they are now widely adopted in many applications. However, new security challenges emerged from bridging the cyber and physical worlds. CPS are now more prone to failures and cyber attacks than ever. However, IoT and CPS security grabbed the attention of many researchers recently, numerous methods, architectures and countermeasures have been proposed to enhance security and data integrity with the application of machine learning (ML) and the blockchain. This paper surveys CPS applications and the various vulnerabilities and security challenges facing it, while also attempting to identify its main challenges. Finally, the existing solutions and failure preventive measurements are analyzed along with their limitations.