Enhanced keystroke dynamics authentication utilizing pressure detection

Current computer and information systems are now used in almost all aspects of our lives, especially in banking systems and network systems. Most of the times, many computer systems use the simple and common username/password or keystroke biometric scheme via a keyboard for authentication. However, those fixed secret information can be guessed easily using different methods such as network sniffer, social engineering, spyware, dictionary attack and brute force attacks, etc. Meanwhile, using the password-based solution suffers from many security flaws and usability limitations. Although the user adopts extreme measures such as changing of the password and using long and complex passwords to be efficient and secure, these are unfriendly and hard to memorize for the user. Therefore, a solution to this problem is the use of an alternative biometric authentication method called Keystroke Dynamics. It is one of the famous biometric technologies and can be yet provide ease of use and transparency to the user in addition to security robustness. Keystroke Dynamics allows to secure the authentication process by verifying the way of typing the static credentials such as typing behavior, typing period of time, etc. But the static behavior can be easy continuously monitoring the user's activities. There is always a golden opportunity for attacker who is physically close to the machine to have access to it. This paper investigates the use of keystroke dynamics that is combined user's typing pressure activities on keyboard. The proposed scheme utilizes the key press and release pressure to build random user's typing profile. The research done on Dynamic Keystroke Pressure-Based is ability to provide continual identity verification during the whole time and has a high accuracy level which was obtained under strictly controlled conditions.