Detection and Prevention of Replay Attacks in LoRaWAN Using Machine Learning

Abstract

LoRaWAN is a very popular globally adopted protocol for IOT networks. Despite many security measures introduced, there are still some flaws one of which is replay attacks. These attacks are a serious threat for the network traffic. Many solutions have been proposed for different scenarios of replay attacks, but till now no solution has been declared complete. In this paper we have analyzed different possible scenarios of replay attack and later compare the propose solutions. We have also proposed machine learning based solution.