[PAST EVENT] An Efficient User Verification System via Mouse Movements

September 28, 2012
3pm - 4pm
McGlothlin-Street Hall, Room 20
251 Jamestown Rd
Williamsburg, VA 23185Map this location
Biometric authentication verifies a user based on inherent, unique characteristics --- who you are. In addition to physiological biometrics, behavioral biometrics has proven very useful in authenticating a user. Mouse dynamics, with their unique patterns of mouse movements, is one such behavioral biometric. In this talk, we present a user verification system using mouse dynamics, which is both accurate and efficient enough for future usage. The key feature of our system lies in using much more fine-grained (point-by-point) angle-based metrics of mouse movements for user verification. These new metrics are relatively unique from person to person and independent of the computing platform. Moreover, we utilize support vector machines (SVMs) for accurate and fast classification. Our technique is robust across different operating platforms, and no specialized hardware is required. The efficacy of our approach is validated through a series of experiments. Our experimental results show that the proposed system can verify a user in an accurate and timely manner, and induced system overhead is minor.


Nan Zheng is a fourth year Ph.D. student in computer science at the College of William & Mary, advised by Professor Haining Wang. Before commencing her Ph.D. studies at William & Mary, she received a master's degree in computational physics at the University of Tennessee. Her research at William & Mary focuses on user authentication/verification on the client side, as well as relevant issues in security and human computer interaction. She is the lead author of a paper published in CCS 2011, where a novel user verification system is initiated based on mouse movements.

Department of Computer Science