Survey on Anomaly Detection of (IoT)- Internet of Things Cyberattacks Using Machine Learning
A. V. Deorankar, Shiwani S. Thakare
Abstract
IoT is the network used to connect and communicate with wide range of communication devices through the internet. In recent times, due to the massive access of IoT devices, the network traffic is growing exponentially and the shared data between the devices and over the network becomes more prone to cyberattacks. In order to reduce the emerging cyberattacks in IoT devices, more efforts have to be taken to develop a new technique for detecting malicious attacks. The proposed research work helps to control over this cyberattacks by introducing a fog layer to maintain the security of data available on a cloud. Furthermore, the working of fog layer and different anomaly detection techniques to prevent the cyberattacks are also studied.