An automated system of intrusion detection by IoT-aided MQTT using improved heuristic-aided autoencoder and LSTM-based Deep Belief Network.
The IoT offered an enormous number of services with the help of multiple applications so it faces various security-related problems and also heavy malicious attacks.Initially, the IoT data are gathered from the standard dataset as Message Queuing Telemetry Transport (MQTT) set.Further, the collected data are undergone the pre-processing stage, whic