Detection and Mitigation of Man-in-the-Middle Attack in IoT through Alternate Routing

The Internet of Things has grown to great heights in recent years. More and more devices are being connected to the Internet and the data from these IoT devices is used in decision making in critical environments like healthcare, military and so on. Thus it becomes extremely important to secure the IoT environment. The motive behind this paper is to understand the IoT architecture, the need for security in IoT and the current work done in IoT to handle security. A framework is proposed to ensure security of data against the Man-In-The-Middle attack which might occur when the data is being transmitted across the IoT network. The attack is then launched on the developed system which is later tested using medical data. Extensive analysis is carried out on this data and a prediction model i.e. Logistic Regression model is built. The accuracy of prediction before and after the launch of the attack is noted. The change in the accuracy of prediction after the data has been tampered helps in quantifying the performance of the security framework. The system is unique in a way that it detects data modification due to Man-in-the-middle attack and handles it effectively.