Surveying Technology Fusion in IoT Networks for IDS: Exploring Datasets, Tools, Challenges, and Research Prospects
Mamta Rawat, Gaurav Singal
Abstract
The Internet of Things is quickly taking over the world. Nevertheless, security for the IoT is becoming a more important academic topic and commercial concern because of several factors including the diverse nature of devices, protocols in use, the sensitivity of the data they carry, and security and privacy concerns. Admitting this, there appears to be a compelling need for a comprehensive survey that encompasses the entire spectrum of intrusion detection in the IoT paradigm, from foundational concepts like types of IDS, resources, and techniques for implementing IDS, to the latest technologies that can be used to enhance the performance of IDS. This study will be helpful for academic and industrial research in different ways: first, in identifying type of IDS to be used; second, in choosing various tools such as datasets and sniffing tools, and learning techniques for implementing IDS; and finally, it suggests the use of latest enabling technologies in the IoT setting to make the process of intrusion detection more secure, efficient, trustworthy, and privacy aware. We have also discussed critical challenges and research directions to help young researchers advance in their research projects.