Comprehensive Analysis of Various Attacks in the IoT Environment
Jaganathan D, Rajeswari P, Prabhu V, G. D. Lakshman Rajesh, L Oormila · 2023
A network of connected objects known as the Internet of Things (IoT) allows data to be transmitted over a network without the need for direct physical contact. Wearable sensors, software, actuators, and computer hardware are all examples of IoT devices. They are associated with a particular thing that is connected to the internet. Meanwhile, security risks have grown as a result of IoT devices' lack of protection. One of the most prevalent devices that can be readily impacted by threads and swiftly propagate across the devices is the Internet of Things (IoT) hardware. This review used machine learning techniques to compare and evaluate the research on past investigations and research into botnet identification. The most effective detective control method against assaults caused by IoT devices is machine learning. Concerns and difficulties related to IoT security are discussed, along with an SDN-based framework for facilitating cooperative IoT security. In order to combat attacks, it is also necessary to provide a structure that can rapidly share information about an attack with peer controllers. In order to build and improve security for IoT systems, this work aims to give a thorough assessment of ML techniques.