THaW researchers are showing off some cool research at this week’s MobiSys conference in Niagara Falls, with three papers at MobiSys workshops and a poster in the poster session.
- Aarathi Prasad and David Kotz. ENACT: Encounter-based Architecture for Contact Tracing. In ACM Workshop on Physical Analytics (WPA), pages 37-42, June 2017. ACM Press. DOI 10.1145/3092305.3092310.
- Rui Liu, Reza Rawassizadeh, and David Kotz. Toward Accurate and Efficient Feature Selection for Speaker Recognition on Wearables. InProceedings of the ACM Workshop on Wearable Systems and Applications (WearSys), pages 41-46, 2017. ACM Press. DOI 10.1145/3089351.3089352.
- Rui Liu, Cory Cornelius, Reza Rawassizadeh, Ron Peterson, and David Kotz. Poster: Vocal Resonance as a Passive Biometric. In Proceedings of the ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), pages 160, 2017. ACM Press. DOI 10.1145/3081333.3089304.
- Xiaohui Liang and David Kotz. AuthoRing: Wearable User-presence Authentication. In Proceedings of the ACM Workshop on Wearable Systems and Applications (WearSys), pages 5-10, 2017. ACM Press. DOI 10.1145/3089351.3089357.
THaW’s article about Zero-Effort Bilateral Recurring Authentication (ZEBRA) triggered a lot of press coverage: such as Communications of the ACM (CACM), VICE Motherboard, Dartmouth Now, Gizmag, The Register UK, Planet Biometrics*, Computer Business Review*, Fierce Health IT, Daily Science News, Senior Tech Insider, Motherboard, Homeland Security Newswire, and NFC World. They’re all intrigued by ZEBRA’s ability to continuously authenticate the user of a desktop terminal and to log them out if they leave or if someone else steps in to use the keyboard. Some(*) mistakenly believe our ZEBRA method uses biometrics; quite the contrary, ZEBRA is designed to be user-agnostic and thus requires no per-user training period. (ZEBRA correlates the bracelet wearer’s movements with the keyboard and mouse movements, not with a prior model of the wearer’s movements as do methods built on behavioral biometrics.) ZEBRA could be combined with a biometric authentication of the wearer to the bracelet, and can be combined with other methods of initial authentication of wearer to system (such as username/password, or fingerprints) making it an extremely versatile tool that adds strength to existing approaches. The Dartmouth THaW team continues to refine ZEBRA. [Note: since the time this paper was published we have learned of a relevant trademark on the name “Zebra”. Thus, we have renamed our approach “BRACE” and will use that name in future publications.]
Our experiments used the Shimmer research device, though in principle it could work with any fitness band.