PassChords
Authors:
Open Access
- 22 October 2012
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 159-166
Abstract
Blind mobile device users face security risks such as inaccessible authentication methods, and aural and visual eavesdropping. We interviewed 13 blind smartphone users and found that most participants were unaware of or not concerned about potential security threats. Not a single participant used optional authentication methods such as a password-protected screen lock. We addressed the high risk of unauthorized user access by developing PassChords, a non-visual authentication method for touch surfaces that is robust to aural and visual eavesdropping. A user enters a PassChord by tapping several times on a touch surface with one or more fingers. The set of fingers used in each tap defines the password. We give preliminary evidence that a four-tap PassChord has about the same entropy, a measure of password strength, as a four-digit personal identification number (PIN) used in the iPhone's Passcode Lock. We conducted a study with 16 blind participants that showed that PassChords were nearly three times as fast as iPhone's Passcode Lock with VoiceOver, suggesting that PassChords are a viable accessible authentication method for touch screens.Keywords
This publication has 20 references indexed in Scilit:
- Usable Mobile Security2012
- RhythmLink2011
- On the need for different security methods on mobile phones2011
- The aligned rank transform for nonparametric factorial analyses using only anova procedures2011
- Evaluating existing audio CAPTCHAs and an interface optimized for non-visual use2009
- Human-in-the-loop2008
- On predictive models and user-drawn graphical passwordsACM Transactions on Information and System Security, 2008
- Developing usable CAPTCHAs for blind users2007
- Authentication of users on mobile telephones – A survey of attitudes and practicesComputers & Security, 2005
- PassPoints: Design and longitudinal evaluation of a graphical password systemInternational Journal of Human-Computer Studies, 2005