Internet of Things (IoT) Device Investigative Analysis Using Machine-to-Machine (M2M) Framework

Abstract

As we know that now a days the possibility of the uninterrupted attacks on
the IOT devices are increasing. The less memory and the minute processing power of these appliances make it tough for the security analyst to store
the records of the different attacks. The forensic analysis is used to evaluate the damage done on the devices due to numerous attacks. In this mechanism the attacks on the IOT devices are detects undoubtedly by using machineto-machine (M2M) framework. In addition to the using machine-to-machine
framework the machine learning algorithms also been used to identify various
attacks automatically. Here we use the third-party logging server in order to
issue. The execution will be studied in the form of accuracy, precision and the
Random Forest gives the most accuracy.