Studying of keystroke dynamics statistical properties for biometrie user authentication

Constantly developing applications and services make possible realize large number of operations in the internet: from banking transactions to the possibility of private personal communication in social networks, messengers, forums etc. Therefore, the problem of protecting the security and privacy of user's personal data currently has become very important. In this regard, new algorithms and methods that can increase the reliability of user's authentication are required. In this case, could be successfully applied dynamic biometrie technologies based not on the unique knowledge of user, but on usual pattern of behavior. This paper describes the results of research of keystroke dynamics statistical characteristics that can be used as complementary measure to protect user's personal information.