Detecting Web Application Attacks and Account Compromise with Machine Learning

Jul 18, 2024

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As more applications are externalized to open environments, the need for a system capable of detecting anomalous activities pre and post-login has become imperative. In this presentation, we will discuss our approach to detecting misuse or intrusions through machine learning. We will cover our data, feature engineering, ensemble modeling approach and integration in a realtime environment.

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