CactiLab/code-xNIDS
source code for USENIX Security paper xNIDS
This project helps cybersecurity analysts and network defenders understand why a Deep Learning-based Network Intrusion Detection System (DL-NIDS) flagged certain network traffic as malicious. It takes the output from a DL-NIDS and provides explanations for its decisions, enabling quicker and more informed active responses to potential threats. Security operations personnel can then use these explanations to validate alerts and take precise actions.
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Use this if you need to understand the reasoning behind your Deep Learning-based Network Intrusion Detection System's alerts for faster and more effective incident response.
Not ideal if you are looking for a standalone intrusion detection system rather than an explanation tool for an existing one.
Stars
58
Forks
15
Language
Python
License
MIT
Category
Last pushed
Aug 27, 2024
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