Hello everyone, I want to create an alert based on nginx logs using the Machine Learning Toolkit. Basically, I would like to train a model to detect when a client (with an ID already in the logs) logs in, or attempts to log in, from an unusual location. Example: we have a client that usually connects from US East, but suddenly has a connection from Russia. I have tried a few searches using iplocation, using DensityFunction and OneClassSVM, but haven't been able to create a model that correctly detects anomalies. If anyone has any insight, or has done something like that before, I would appreciate the help.
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