Exploring Effect of Location Number on Map-Based Graphical Password Authentication

Abstract

Information security and privacy : 22nd Australasian Conference, ACISP 2017, Auckland, New Zealand, July 3-5, 2017Graphical passwords (GPs) that authenticate users using images are considered as one potential alternative to overcome the issues of traditional textual passwords. Based on the idea of utilizing an extremely large image, map-based GPs like PassMap and GeoPass have been developed, where users can select their secrets (geographical points) on a world map. In particular, PassMap allows users to select two locations on a map, while GeoPass reduces the number of locations to only one. At first glance, selecting one location is more vulnerable to attacks, while increasing the location number may add burden on users. In the literature, there is no research exploring this issue. Motivated by this, our purpose in this work is to explore the effect of location number (the number of geographical points) and compare two schemes of PassMap and GeoPass in terms of users’ performance and feedback. In this work, we develop a generic and open platform for realizing map-based schemes, and conduct a user study with 60 participants. The study reveals that selecting two locations would not degrade the scheme performance. Our effort aims to complement exiting research studies in this area.Department of Computing2016-2017 > Academic research: refereed > Chapter in an edited book (author)bcw