Information is a very important asset for companies and users. With new types of attacks being developed at a quick pace, innovative technologies are required to keep information safe.
In this project, a keystroke dynamics authentication system is proposed, which aims to solve the issues of classic one time log in systems.
The problem with these systems is that, no matter how secure they are, once the authentication step is performed, there is no way for the system to authenticate the users continuously.
In this project, the concept of keystroke dynamics is introduced, and a system that can continuously authenticate users based on freely-typed text is proposed.
Different feature extraction methods are described that should capture the users’ typing behavior.