Behavioural Biometric Authentication via Mouse Dynamics

Abstract

Authentication is an essential component to a secure system by verifying the credentials of a user before the access right was granted to access system resources legitimately. However, previous research proved that as the computer intrusion techniques continue to advance, traditional authentication methods such as passwords and one time password (OTP) gradually reveal their security weakness, and it is no longer enough to preserve the security of the system. Therefore, a more secure authentication method, behavioural biometrics, was introduced to thwart intruders and enhance the security by verifying users’ unique behavioural pattern that was difficult to mimic. This project proposes an authentication system that integrates mouse dynamics behavioural biometrics and traditional password authentication to detect suspicious login attempts. The user needs to predefine three mouse click positions as part of their user profile. The same mouse click position and sequence must be performed during authentication before proceeding to username and password entry. Successful login requires both the mouse click coordinates and user’s credentials to match the stored profile. The proposed system was experimentally evaluated by comparing the accuracy, security and performance with traditional password authentication. The mouse dynamic biometric method has an overall accuracy of 92%. Although it performs higher latency and lower throughput than password authentication, it provides stronger security and greater resistance to brute-force attack. These results show that the proposed authentication system provides a more secure and effective approach to user authentication.