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View of Utilizing Deep Learning Techniques For Effective Zero-Day Attack Detection by shaibymohd25 is a document available to read on EtoBox.

What is View of Utilizing Deep Learning Techniques For Effective Zero-Day Attack Detection about?

The document discusses the challenges of detecting zero-day attacks, which exploit undiscovered vulnerabilities and evade traditional cybersecurity systems. It highlights the potential of machine learning (ML) techniques for detecting these attacks and introduces a new zero-shot learning approach to evaluate ML-based Network Intrusion Detection Systems (NIDSs). The study finds that certain zero-day attack groups are difficult for ML-based NIDSs to identify, emphasizing the need for improved detection method

Author

shaibymohd25

Language

EN