Computation Intelligence Techniques for Security in IoT Devices

This paper provides an overview of the context of security in Internet of Things (IoT) devices. It introduces the fundamentals of IoT definitions, and fifth genera tion (5G) networks and focuses on security in IoT devices. An introduction to computational intelligence techniques is also presented, including their evolution, use cases, significance, and standardization efforts, with examples. This paper presents a taxonomy of cyber threats targeting IoT devices and a review of sever al key works in every security category in IoT devices. It also explores the applica tion of computational intelligence techniques to enhance the security of IoT de vices. Providing a comprehensive overview of models or mechanisms such as machine learning (ML), deep learning (DL), fuzzy systems (FS), and evolutionary algorithms (EA). Their model role is to detect and mitigate security threats in the IoT system. The paper shows the successful application of computational intelli gence in enhancing IoT security through case studies and practical examples. Next, this paper discusses new challenges and future research directions in IoT device security.