Abstract
The inherent weakness of typical mobile device unlocking approaches (PIN, password, graphic pattern) is that they demand time and attention, leading a majority of end users to disable them, effectively lowering device security. We propose a method for unlocking mobile devices by shaking them together, implicitly passing the unlocked state from one device to another. One obvious use case includes a locked mobile phone and a wrist watch, which remains unlocked as long as strapped to the user's wrist. Shaking both devices together generates a one-time unlocking event for the phone without the user interacting with the screen. We explicitly analyze the usability critical impact of shaking duration with respect to the level of security. Results indicate that unlocking is possible with a true match rate of 0.795 and true non match rate of 0.867 for a shaking duration as short as two seconds.
Original language | English |
---|---|
Title of host publication | 12th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2014 |
Editors | Yu-Hui Tao, Hsin-Chang Yang, I-Hsien Ting, Matthias Steinbauer, Ismail Khalil, Gabriele Anderst-Kotsis |
Publisher | ACM Press |
Pages | 165-174 |
Number of pages | 10 |
ISBN (Electronic) | 9781450330084 |
DOIs | |
Publication status | Published - 8 Dec 2014 |
Event | 12th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2014) - Kaohsiung, Taiwan, China Duration: 8 Dec 2014 → 10 Dec 2014 http://www.iiwas.org/conferences/momm2014/ |
Publication series
Name | 12th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2014 |
---|
Conference
Conference | 12th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2014) |
---|---|
Country/Territory | China |
City | Kaohsiung, Taiwan |
Period | 08.12.2014 → 10.12.2014 |
Internet address |
Keywords
- Accelerometer
- authentication
- frequency domain
- mobile devices
- shaking
- time series analysis
- usability
- Frequency domain
- Shaking
- Time series analysis
- Mobile devices
- Authentication
- Usability