IoTServer

MUD Maker source code

Using mqtt implemented a simple publish and subscribe model

A Software Framework for Context-Sensitive Pervasive Computing

[Anomaly detection] refers to the process of identifying patterns in data that do not conform to expected behavior. This project aims to develop a machine learning model to predict and identify potential attacks in IoT networks, thus helping to secure these networks from malicious activities.

This project focuses on implementing an advanced IoT network custom protocol using the RPL (Routing Protocol for Lossy networks) with a time-window expiration parameter. The primary goals are to handle power consumption and reduce network congestion.

Contiki implementation in C of the Ad-hoc On-demand Distance Vector (AODV) routing protocol, plus GUI.