Abstract

The Internet of Things (IoT) is considered one of the world's fastest-growing technologies, and it has a tremendous impact on people's lives in many different ways. With notable improvements in the evolution and expansion of technologies, the IoT faces numerous security threats and challenges. IoT technology uses various devices and protocols, making it difficult to apply adequate security control across the whole system and vulnerable to multiple attacks. Using essential technologies such as ML helps in addressing the recent security challenges and attacks on the IoT ecosystem. This paper presents an overview of IoT security. Also, it highlights types of IoT architecture security and explores the various kinds of attacks under each IoT architectural layer. Moreover, this paper discusses the uses of Machine Learning (ML) as a solution in IoT systems.

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