Im working on a click fraud detection using Redis AI in AWS While I do have a clickstream data to train and simulate on, Id love to test it in a real life scenario. While I can spin a Kubernetes cluster and randomly click with random headers and browser fingerprints, im looking for something closer to the real thing. If you have any repos you can recommend that automate clicks as different devices or any suggestions Id highly appreciate it. In my case all clicks will be pointed at an API gateway IP and either get checked against a blacklist or go further into a detection model and lastly into historical storage.
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from hacking: security in practice https://ift.tt/egjBs81
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