The assigned project is to create an application that creates a base profile on a user-by-user basis. This base profile will gather user data based on a variety of things that the user does within an organization. For instance the way that they navigate to folders, the way they browse, move their mouse, and other identifiable traits.

Using this data, when the user performs an activity that is outside of their regular profile, the application shall detect this as an anomaly. The problem that arises with this, is that it creates false positives. Just because a user does something outside of their regular profile, does not mean that it is not the user. We have been tasked with finding a way to do this process, that eliminates these false positives.