A PIN-entry method resilient against shoulder surfing
Proceedings of the 11th ACM conference on Computer and communications security
Spy-resistant keyboard: more secure password entry on public touch screen displays
OZCHI '05 Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future
The design and analysis of graphical passwords
SSYM'99 Proceedings of the 8th conference on USENIX Security Symposium - Volume 8
Reducing shoulder-surfing by using gaze-based password entry
Proceedings of the 3rd symposium on Usable privacy and security
Do background images improve "draw a secret" graphical passwords?
Proceedings of the 14th ACM conference on Computer and communications security
Evaluation of eye-gaze interaction methods for security enhanced PIN-entry
OZCHI '07 Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces
Interacting with the computer using gaze gestures
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
Eyepass - eye-stroke authentication for public terminals
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Exploring the Use of Discrete Gestures for Authentication
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
| Hi-index | 0.00 |
Authentication today mostly means using passwords or personal identification numbers (PINs). The average user has to remember an increasing amount of PINs and passwords. But unfortunately, humans have limited capabilities in remembering abstract alphanumeric sequences. Thus, many people either forget them or use very simple ones that imply several security risks. In our previous work on PIN entry on ATMs (cash machines), we found out that many persons support their memory recalling PINs by using an imaginary shape overlaid on the number pad. In this paper, we introduce PassShape, a shape based authentication mechanism. We argue that using shapes will allow more complex and more secure authentication with a lower cognitive load. That is, it enables people to use easy to remember but complex authentication patterns.