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SemanticLock: An authentication method for mobile devices using semantically-linked images

2018/06/29 by Ilesanmi Olade, Olade, Ilesanmi, Hai‐Ning Liang +4 · 2 citations
Computer Science · Engineering · #Advanced Malware Detection Techniques #Artificial intelligence #Authentication (law) #Authentication protocol #Computer science #Computer security #Computer vision #Construct (python library) #Cryptography and Security (cs.CR) #Engineering #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Human–computer interaction #Information retrieval #Innovative Human-Technology Interaction #Lock (firearm) #Mobile device #Multi-factor authentication #Password #Programming language #Set (abstract data type) #Touchscreen #Usability #User Authentication and Security Systems #World Wide Web #cs.CR #cs.HC

paper · pdf · doi:10.48550/arxiv.1806.11361

published in arXiv (Cornell University) (Cornell University)

openalex publication_date 2018/06/29 · arxiv created 2019/10/09 · arxiv updated 2019/10/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

We introduce SemanticLock, a single factor graphical authentication solution for mobile devices. SemanticLock uses a set of graphical images as password tokens that construct a semantically memorable story representing the user`s password. A familiar and quick action of dragging or dropping the images into their respective positions either in a continous flow or in discrete movements on the the touchscreen is what is required to use our solution. The authentication strength of the SemanticLock is based on the large number of possible semantic constructs derived from the positioning of the image tokens and the type of images selected. Semantic Lock has a high resistance to smudge attacks and it equally exhibits a higher level of memorability due to its graphical paradigm. In a three weeks user study with 21 participants comparing SemanticLock against other authentication systems, we discovered that SemanticLock outperformed the PIN and matched the PATTERN both on speed, memorability, user acceptance and usability. Furthermore, qualitative test also show that SemanticLock was rated more superior in like-ability. SemanticLock was also evaluated while participants walked unencumbered and walked encumbered carrying "everyday" items to analyze the effects of such activities on its usage.

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