About: Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More?

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #79945 Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More?
sameAs	Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More?
http://eprints.org/ontology/hasDocument	Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (PDF) Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other) Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other) Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other) Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other) Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other)
http://eprints.org/ontology/hasPublished	Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (PDF)
dc:hasVersion	Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (PDF)
Title	Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More?
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2020-01-20
Creator	Haiyue Yuan Patrice Rusconi Saeed Ibrahim Alqahtani Shujun Li
status	peer reviewed published
Publisher	EAI
abstract	Proactive password checkers have been widely used to persuade users to select stronger passwords by providing machine-generated strength ratings of passwords. If such ratings do not match human-generated ratings of human users, there can be a loss of trust in PPCs. In order to study the effectiveness of PPCs, it would be useful to investigate how human users perceive such machine- and human-generated ratings in terms of their trust, which has been rarely studied in the literature. To fill this gap, we report a large-scale crowdsourcing study with over 1,000 workers. The participants were asked to choose which of the two ratings they trusted more. The passwords were selected based on a survey of over 100 human password experts. The results revealed that participants exhibited four distinct behavioral patterns when the passwords were hidden, and many changed their behaviors significantly after the passwords were disclosed, suggesting their reported trust was influenced by their own judgments.
Is Part Of	EAI Endorsed Transactions on Security and Safety https://kar.kent.ac.uk/id/repository
Subject	BF Psychology QA 75 Electronic computers. Computer science QA76.9.H85 Human computer interaction
list of authors	https://kar.kent.ac.uk/id/eprint/79945#authors
issue	e1
volume	18
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #79945 Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More?

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