NAVI: Novel authentication with visual information

Georgakakis, Emmanouil; Komninos, Nikos; Douligeris, Christos

doi:10.1109/iscc.2012.6249360

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…Then, more map-based graphical passwords were designed from 2012. Georgakakis et al [12] proposed a GP scheme called NAVI, where the credentials of a user are the username and a relevant password formulated by drawing a route on a predefined map. They provided an analysis regarding the password strength, but did not provide any user study.…”

Section: Map-based Graphical Passwordsmentioning

confidence: 99%

Enhancing the security of FinTech applications with map-based graphical password authentication

Meng¹,

Zhu²,

et al. 2019

Future Generation Computer Systems

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With the rapid development of information technology (IT) in financial industry, financial technology (FinTech) has become an emerging area for enterprises and organizations. Due to the wide adoption of IT, various FinTech applications are used by financial industry to help process information and offer financial services. Traditionally, textual passwords are the most widely deployed authentication mechanism, while having many known limitations. As a result, there is a need to enhance the security of FinTech authentication against cyber-criminals. As an alternative, graphical passwords (GPs) are considered as one promising solution to complement traditional password-based systems. In the literature, various GP schemes were proposed such as PassPoints, DAS, Cued Click Points, GeoPass, etc. In this work, we identify that multiple password inference has become a challenge for most GP schemes, and thus design RouteMap, a map-and route-based GP to further improve the security of FinTech applications. This scheme requires users to create a route on a world map as their credentials. In the evaluation, we involved a total of 120 participants, among which 60 of them have financial (FinTech) background, and investigated the performance of RouteMap by comparing it with two similar schemes. Our results demonstrate that participants can achieve better performance using RouteMap in the aspects of authentication accuracy and multiple password memory. Our effort attempts to complement existing studies and stimulate more research on the combination of GP and FinTech.

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Section: Map-based Graphical Passwordsmentioning

confidence: 99%

Enhancing the security of FinTech applications with map-based graphical password authentication

Meng¹,

Zhu²,

et al. 2019

Future Generation Computer Systems

View full text Add to dashboard Cite

show abstract

“…Map-based GP schemes become more popular from the year of 2012. Georgakakis et al [9] proposed a scheme called NAVI, which allows users to draw a route on a pre-loaded map image. They initially analyzed the strength of the password, but did not give any user study for the real performance.…”

Section: Related Workmentioning

confidence: 99%

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

Meng¹,

Fei²,

Jiang³

et al. 2018

ICT Systems Security and Privacy Protection

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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.

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“…In 2012, Georgakakis et al [9] proposed NAVI, in which the credentials of a user are his username and a password formulated by drawing a route on a pre-defined map image. They provided an analysis about the password strength, but did not give any user study.…”

Section: Map-based Graphical Passwordsmentioning

confidence: 99%

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

Meng

Lee

et al. 2017

Information Security and Privacy

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Abstract. Graphical 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 point) on a world map. In particular, PassMap allows users to select two locations on a map, while GeoPass reduces the location number 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 between 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, which reveals that selecting two locations would not degrade the scheme performance. Our effort aims to complement exiting research studies in this area.

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NAVI: Novel authentication with visual information

Cited by 8 publications

References 13 publications

Enhancing the security of FinTech applications with map-based graphical password authentication

Enhancing the security of FinTech applications with map-based graphical password authentication

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

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

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