| Title | Sweet-spotting Security and Usability for Intelligent Graphical Authentication Mechanisms |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Belk, Marios, Pamboris, Andreas, Fidas, Christos, Katsini, Christina, Avouris, Nikolaos, Samaras, George |
| Conference Name | Proceedings of the International Conference on Web Intelligence |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4951-2 |
| Keywords | composability, compositionality, Computational Intelligence, cryptography, eye-tracking, pubcrawl, recognition-based graphical authentication, security, usability, user study |
| Abstract | This paper investigates the trade-off between security and usability in recognition-based graphical authentication mechanisms. Through a user study (N=103) based on a real usage scenario, it draws insights about the security strength and memorability of a chosen password with respect to the amount of images presented to users during sign-up. In particular, it reveals the users' predisposition in following predictable patterns when selecting graphical passwords, and its effect on practical security strength. It also demonstrates that a "sweet-spot" exists between security and usability in graphical authentication approaches on the basis of adjusting accordingly the image grid size presented to users when creating passwords. The results of the study can be leveraged by researchers and practitioners engaged in designing intelligent graphical authentication user interfaces for striking an appropriate balance between security and usability. |
| URL | http://doi.acm.org/10.1145/3106426.3106488 |
| DOI | 10.1145/3106426.3106488 |
| Citation Key | belk_sweet-spotting_2017 |
Sweet-spotting Security and Usability for Intelligent Graphical Authentication Mechanisms