GitHub topics: iot-networks
spk-22/BotNet-Insight
An advanced deep learning solution for detecting IoT botnet attacks, specifically Mirai, leveraging the power of GNNs. This project transforms raw IoT device network traffic into dynamic graph structures and employs a GraphSAGE model for robust and efficient anomaly detection, enhancing the security posture of interconnected devices.
Language: Jupyter Notebook - Size: 338 KB - Last synced at: 17 days ago - Pushed at: 29 days ago - Stars: 3 - Forks: 0
iot-onboarding/mudmaker
MUD Maker source code
Language: HTML - Size: 10.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 3
gaurav-borse/anamoly-detection
[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.
Language: Jupyter Notebook - Size: 23.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
i4things/Server
IoTServer
Language: Java - Size: 363 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0
Krishna4/mqttSample
Using mqtt implemented a simple publish and subscribe model
Language: Java - Size: 7.81 KB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 1
