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I've read something about a method used by online banking services some time ago: They tracked the way the customer moves their mouse, calculated their arm leng
by norlys 9y ago
I've read something about a method used by online banking services some time ago: They tracked the way the customer moves their mouse, calculated their arm lenghts etc. and when the movements were suspiciously different, the system assumes it's a fraud and logs them out.
- gesman 9y agoI did similar project with Tensorflow. Mouse movements were captured then converted to images and DL model was trained to classify user or not user. It can also classify classes of users I.e. new portal users are moving mouse differently from users who are familiar with portal. To add - by itself it’s not a reliable indicator of yes/no. But rather another risk scoring input to overall identity detection system.
- rayuela 9y agoThis is actually clever. Thanks for sharing the technique!
- gesman 9y agoPleasure :) Here's writeup: https://www.splunk.com/blog/2017/04/18/deep-learning-with-splunk-and-tensorflow-for-security-catching-the-fraudster-in-neural-networks-with-behavioral-biometrics.html https://www.splunk.com/blog/2017/04/18/deep-learning-with-sp...