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Using mouse movements in the authentication process as behavioral authentication technique

The majority of current information systems applications are based on retrieving the explicit data and information stored in databases while some other applications like data mining take further steps through extracting the implicit knowledge that can be deduced from the explicit ones using some techniques and algorithms. These Techniques and algorithms need to be mature enough to extract such knowledge. Lack of certainty in these tools lead to poor results and wrong findings sometimes. In fact, in the last decade a lot of research was conducted in behavioral studies as unique identifiers for humans. In this paper, we will focus on the area of analyzing users mouse movements to identify and re-authenticate the users behaviorally since many physical studies proved that every single person has his own unique mouse movement signature. Most of the current authentication techniques are based on something the user knows, something the user has, or something the user is. In this paper, we will add another dimension which is something the user does. Our proposed technique might be used as a supporter tool since it still suffers from high rates of false acceptance and false rejection