rahulvigneswaran/Intrusion-Detection-Systems
This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".
This project helps cybersecurity researchers evaluate and compare different machine learning models for detecting network intrusions. It takes network traffic data (like the KDDCup-'99' dataset) as input and outputs predictions about potential cyberattacks, along with performance metrics. This is useful for researchers in cyber security or network operations looking to improve threat detection systems.
296 stars. No commits in the last 6 months.
Use this if you are a cybersecurity researcher or network security analyst interested in benchmarking different machine learning algorithms, particularly deep neural networks, for network intrusion detection.
Not ideal if you need a production-ready intrusion detection system or are looking for real-time threat analysis without prior machine learning expertise.
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Last pushed
Dec 22, 2023
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