A Framework for Attack Detection in Iot Using Optimal Feature Selection Approach and Random Forest Algorithm

Abstract

The Internet of Things (IoT) combines software and hardware for data collection and sharing, including networks, sensors and electronics. To interchange data within the network, physical devices with distinct IP addresses connect with outside parties through the internet. The IoT concept has gained importance in the development of smart environments, including smart cities and households, which encompass a variety of application fields. By addressing issues with the living environment, industrial needs, and energy consumption, such smart settings aim to make daily activities in human life more creative and competitive. newlineThe major goal is clearly evident due to the dramatic increase of IoT services and applications across different networks. Furthermore, IoT systems are exposed to a variety of security vulnerabilities, including flooding and probing attacks. These types of attacks unquestionably cause serious harm to IoT devices and the applications that enable heterogeneous devices in an IoT ecosystem. These system entities are open to severe attacks due to a lack of security measures newline