aliebayani/IoT-Devices-Intrusion-Detection
Integrating CNN-LSTM Networks with Statistical Filtering Techniques for Optimizing IoT Intrusion Detection
This project helps operations engineers and cybersecurity analysts protect their IoT and Industrial IoT (IIoT) networks from intrusions. It takes network traffic data from IoT devices and identifies malicious activities, providing clear signals about potential attacks. The output is a detection of various network intrusions, allowing for proactive security measures.
No commits in the last 6 months.
Use this if you need to detect and mitigate cyber threats in your IoT and IIoT environments using advanced deep learning techniques.
Not ideal if you are looking for a plug-and-play commercial security solution rather than a research-oriented deep learning implementation.
Stars
14
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 28, 2024
Commits (30d)
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