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Machine Learning for Cyber Threat Detection by Anjali Boge is a document available to read on EtoBox.

This research paper discusses the development of a machine learning-based framework for cyber threat detection and prevention in critical infrastructure, highlighting the inadequacies of traditional security measures against sophisticated cyber threats. The proposed Inception model outperforms conventional classifiers, achieving high accuracy and precision in detecting cyber threats using the UNSW-NB15 dataset. The study emphasizes the importance of advanced machine learning techniques in enhancing cybersec

Author

Anjali Boge

Language

EN