Complexity metrics and user strength perceptions of the pattern-lock graphical authentication method

Andriotis, Panagiotis; Tryfonas, Theo; Oikonomou, George

Abstract

One of the most popular contemporary graphical password approaches is the Pattern-Lock authentication mechanism that comes integrated with the Android mobile operating system. In this paper we investigate the impact of password strength meters on the selection of a perceivably secure pattern. We first define a suitable metric to measure pattern strength, taking into account the constraints imposed by the Pattern-Lock mechanism's design. We then implement an app via which we conduct a survey for Android users, retaining demographic information of responders and their perceptions on what constitutes a pattern complex enough to be secure. Subsequently, we display a pattern strength meter to the participant and investigate whether this additional prompt influences the user to change their pattern to a more effective and complex one. We also investigate potential correlations between our findings and results of a previous pilot study in order to detect any significant biases on setting a Pattern-Lock. © 2014 Springer International Publishing.

Citation

Andriotis, P., Tryfonas, T., & Oikonomou, G. (2014). Complexity metrics and user strength perceptions of the pattern-lock graphical authentication method. Lecture Notes in Artificial Intelligence, 8533 LNCS, 115-126. https://doi.org/10.1007/978-3-319-07620-1_11

• Journal Article Type: Conference Paper
• Acceptance Date: Jun 22, 2014
• Publication Date: Jan 1, 2014
• Deposit Date: Sep 20, 2016
• Publicly Available Date: Sep 20, 2016
• Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Print ISSN: 0302-9743
• Electronic ISSN: 1611-3349
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 8533 LNCS
• Pages: 115-126
• Book Title: Human Aspects of Information Security, Privacy, and Trust
• DOI: https://doi.org/10.1007/978-3-319-07620-1_11
• Keywords: security, Android, password, bias, usability, feedback
• Public URL: https://uwe-repository.worktribe.com/output/822832
• Publisher URL: http://dx.doi.org/10.1007/978-3-319-07620-1_11
• Additional Information: Additional Information : The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-07620-1_11; Title of Conference or Conference Proceedings : Second International Conference, HAS 2014, Held as Part of HCI International 2014