MITM attacks pose a serious threat by enabling intruders to intercept and alter communications between devices in an Internet of Things (IoT) network. This research proposes a method for detecting Man-in-the-Middle (MITM) attacks in smart home systems using a Deep Neural Network (DNN) algorithm. The study uses the COMNETS SMART HOME dataset with ARP Poisoning attacks. Data were processed with a…
MITM attacks allow third parties to infiltrate between communicating devices to steal or modify data without being detected, increasing the security risk of smart home networks. This study aims to detect Man in the Middle (MITM) attacks on smart home networks using the Support Vector Machine (SVM) algorithm. The dataset used is COMNETS SMART HOME, which contains MITM attack data based on the AR…