Learning Approaches for Security and Privacy in Internet of Things

The Internet of Things (IoT) is an evolving pattern that concentrates on the links between machine, “things,” the internet, and users. One of the core technologies to achieve Internet of things is Cyber-Physical System (CPS). A new paradigm that pursues the convergence of the physical and cyber spaces in which people live is the cyber-physical system. It is tightly integrated with different cyber and physical systems in terms of scale and level. Consequently, the CPS suffers from some CPS problems that could threaten the lives directly, while the CPS environment, including its various layers, is related to threats on the spot that require studying the safety of CPS. Hence, this survey is based on cybersecurity-based machine learning on Internet of things. This addresses the survey based on various attacks, security, and privacy authentication in cybersecurity, and finally, analyzes the privacy based on future research in cybersecurity.