A Taxonomy on Man-in-the-Middle Attack in IoT Network

Recent trends in IoT networks suggests that the more the use of IoT devices, the more the threat to the network. There are various threats posed by the attackers on this type of networks. In this work we have identified Man-in-the -Middle attack for study and understand its effect on the networks like IoT, IoMT, VANET etc. Various authors have suggested several ways to mitigate the attack. Some of them have used some Machine learning techniques such as Random Forest, Decision Trees and deep learning techniques. After analyzing the works of various authors, we have tried to identify some topics for further investigation and then we would try to summarize the study in the conclusion.