Zero-Day Attack Detection using Denoising Autoencoder on UNSW-NB15

Zero-day attacks are among the most serious cybersecurity threats. They exploit previously unknown vulnerabilities, allowing them to bypass existing intrusion detection systems (IDS). Traditional signature-based IDS fails here as it depends on the known attack pattern.  To detect such a kind of attack, models need to learn what normal network behaviour looks like and flag […]

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