About this document
ML Project by RAVI is a document available to read on EtoBox.
The document discusses the importance of anomaly detection in IoT networks, highlighting the vulnerabilities posed by the increasing number of connected devices. It reviews various machine learning and deep learning techniques for detecting anomalies, emphasizing the need for tailored approaches due to the unique characteristics of IoT data. The paper also outlines the process of simulating a synthetic IoT network using MQTT brokers to generate realistic datasets for training anomaly detection models.
- Author
- RAVI
- Language
- EN