Continuous Verification Using Multimodal Biometrics
In this paper we describe a system that continually verifies the presence/participation of a logged-in user. This is done by integrating multimodal passive biometrics in a Bayesian framework that combines both temporal and modality information holistically, rather than sequentially. This allows our system to output the probability that the user is still present even when there is no observation.
Our implementation of the continuous verification system is distributed and extensible, so it is easy to plug in additional asynchronous modalities, even when they are remotely generated. Based on real data resulting from our implementation, we find the results to be promising.
KeywordsFace Image Fusion Method Legitimate User State Transition Model Security Administrator
- 1.Joncheray, L.: A Simple Active Attack Against TCP. In: Proceedings of the 5th USENIX Security Symposium, pp. 7–19 (1995)Google Scholar
- 3.Kumar, S., Sim, T., Janakiraman, R., Zhang, S.: Using continous biometrics verification to protect interactive login sessions. To appear in the 21st Annual Computer Security Applications Conference (2005)Google Scholar
- 5.Sim, T., Sukthankar, R., Mullin, M., Baluja, S.: Memory-based Face Recognition for Visitor Identification. In: IEEE International Conference on Automatic Face and Gesture Recognition (2000)Google Scholar
- 6.Viola, P., Jones, M.: Robust real-time object detection. International Journal of Computer Vision (2002)Google Scholar