January 21, 2021

Suspicious Windows User Login Detection using Machine Learning?

Hi, I am a undergraduate and I plan on building an anomaly detection model to identify suspicious user logins for a Windows AD environment. Basically I want my model to detect untimely logins (deviations from the normal times users logged in previously) and successful login attempts from unusual IP addresses. My biggest limitation is lack of a proper dataset for the problem. I was unable to find any publicly available datasets for the problem.
Can someone please suggest a method to build this or a place to find a dataset? Or any type of help related to this, any previous work done by others? Pretty much any reply is highly appreciated ☺️

Leave a Reply

Your email address will not be published. Required fields are marked *

Note: By filling this form and submitting your commen, you acknowledge, agree and comply with our terms of service. In addition you acknowledge that you are willingly sharing your email address with AiOWikis and you might receive notification emails from AiOWikis for comment notifications. AiOWiksi guarantees that your email address WILL NOT be used for advertisement or email marketting purposes.

This site uses Akismet to reduce spam. Learn how your comment data is processed.