CPMap: Design of Click-Points Map-Based Graphical Password Authentication - ICT Systems Security and Privacy Protection
Conference Papers Year : 2018

CPMap: Design of Click-Points Map-Based Graphical Password Authentication

Abstract

As traditional textual passwords suffer from many known limitations, graphical passwords (GPs) are proposed as one promising alternative to complement the existing authentication systems. To obtain a large password space, map-based GPs (geographical passwords) have been developed that allow users to choose one or more places on a map for authentication. For example, PassMap requires users to choose two places as their credentials, and GeoPass enables users to click only one place for authentication. Some research studies have reported that choosing only one place as a password may be not secure enough, whereas selecting two places may decrease the system usability. In this work, we first conducted a study to learn how users would choose two places under PassMap, and found that users may choose two similar locations due to time consideration. Motivated by this observation, we then design CPMap, a click-points map-based GP scheme that allows users to choose one place on a world map at first and then click a point or an object on an image relating to the previously selected location. To investigate the performance of CPMap, we conducted another user study with up to 50 participants. It is found that users could achieve promising results with our scheme in the aspects of both security and usability.
Fichier principal
Vignette du fichier
472722_1_En_2_Chapter.pdf (515.43 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-02023732 , version 1 (21-02-2019)

Licence

Identifiers

Cite

Weizhi Meng, Fei Fei, Lijun Jiang, Zhe Liu, Chunhua Su, et al.. CPMap: Design of Click-Points Map-Based Graphical Password Authentication. 33th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), Sep 2018, Poznan, Poland. pp.18-32, ⟨10.1007/978-3-319-99828-2_2⟩. ⟨hal-02023732⟩
221 View
164 Download

Altmetric

Share

More