IoT Cyber Attacks Detection - Survey

The increased dominance of Internet of Things (IoT) devices has paved the way of improved connectivity and comfort. Since IoT and other technology types are mostly using the Internet as the connectivity medium, the new challenges of cyber security have also emerged. This review paper highlights the significance of Intrusion Detection Systems (IDS) by focusing on those implementations that secure IoT devices and related networks. The paper describes how the IDS have evolved over time and have become a sophisticated tool of securing the network traffic and computer applications. The paper describes the unique challenges of the IoT environment and its distinct features that add additional complexities in building and using IDS. The paper presents a comprehensive and comparative analysis of the techniques of intrusion detection. Different datasets and evaluation metrics have also been discussed and how the edge computing can optimize the system bandwidth and data routing. The paper highlights how the machine learning techniques and the concepts of artificial intelligence have assisted in developing effective IDS and how these technologies can provide an effective threat defense mechanism by implementing anomaly detection and deep learning techniques.