Autonomous Vehicles, Volume 1

13ML Techniques for Attack and Anomaly Detection in Internet of Things Networks

Vinod Mahor¹*, Sadhna Bijrothiya², Rina Mishra³ and Romil Rawat³

¹Department of Computer Science & Engineering, IES College of Technology, Bhopal, M.P., India

²Department of Computer Science & Engineering, Maulana Azad National Institute of Technology, Bhopal, MP, India

³Department of Computer Science & Engineering, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India

Abstract

The Internet of Things (IoT), is a fundamental driver of smart cities. It is the champion of the global collaboration of machines/things, people, huge data, and processes to create cities that are efficient, economically feasible, and human-friendly. It is a technique that connects thousands of autonomous devices to accumulate different types of data and their circumstances via external devices. With this they can share the information with authorized personnel to serve various purposes including organizing and coordinating economic services and developing commercial services and activities. On the other side, the Internet of Things is currently experiencing more security challenges than ever before. Machine Learning (ML) has made major technological progress, offering up a slew of new scientific avenues to solve existing and future IoT concerns. It is an effective technique for identifying dangers and suspicious acts carried out by sophisticated gadgets and networking in clever wired and wireless networks. This article ...