A malicious user on a website is any user who attempts to perform tasks that they are not authorized to do. In today's world, the threats posed by malicious users are increasing exponentially, with huge databases of personal information from several global tech giants, government agencies, and other private firms being exposed to the public by hackers. It is important to have systems in place that can automatically mitigate these malicious attacks.
In order to recognize the malicious users in our sample web app, we have created a model that is able to learn the usual behavior of a user and raises the alarm if the user behavior at any instance changes significantly from their past usage.
Anomaly detection is a popular branch of machine learning. It is a collection of algorithms that are used to detect data samples in a given dataset...
