Detecting Website Intrusion and Account Compromise with Machine Learning


Posted on in Presentations

As more applications become externalized to open environments, the need for a system capable of detecting anomalous activities pre and post-login has become imperative. This session will discuss the approach to detecting misuse or intrusions through machine learning. Covering data, feature engineering, ensemble modeling approach, and integration in a real-time environment.


Participants
Robin Franklin Guha

Speaker

Security Engineer, Meta


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