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Behavioural Based Biometrics Using Keystroke Dynamics For User Authentication, Emamuzo Cletus Ogemuno
Behavioural Based Biometrics Using Keystroke Dynamics For User Authentication, Emamuzo Cletus Ogemuno
Electronic Theses and Dissertations
Security of data in recent times has become paramount, which has led to the development of many security systems. Among such systems is keystroke dynamics. Keystroke dynamics has become an active area of research in recent times. This is due, in part, to the increased importance of cyber-security, computer or network access control. Also known as typing dynamics, keystroke refers to a method that identifies users/individuals based on the manner of their typing pattern or rhythm on the keyboard, which could either mean a user is verified (identified) or authenticated. User identification is a critical factor before authentication. Now with …
Identification Of User Behavioural Biometrics For Authentication Using Keystroke Dynamics And Machine Learning, Sowndarya Krishnamoorthy
Identification Of User Behavioural Biometrics For Authentication Using Keystroke Dynamics And Machine Learning, Sowndarya Krishnamoorthy
Electronic Theses and Dissertations
This thesis focuses on the effective classification of the behavior of users accessing computing devices to authenticate them. The authentication is based on keystroke dynamics, which captures the users behavioral biometric and applies machine learning concepts to classify them. The users type a strong passcode ”.tie5Roanl” to record their typing pattern. In order to confirm identity, anonymous data from 94 users were collected to carry out the research. Given the raw data, features were extracted from the attributes based on the button pressed and action timestamp events. The support vector machine classifier uses multi-class classification with one vs. one decision …