2019
DOI: 10.4108/eai.13-7-2018.162797
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Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More?

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 … Show more

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Cited by 3 publications
(2 citation statements)
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“…A common approach to evaluate a password in terms of its strength level is passwords rating. In [24] the authors categorized the techniques of the password strength rating into two major categories: 1-machine ratings and 2-human ratings. After that, they implemented a survey to measure how such ratings affect users' trust.…”
Section: Related Workmentioning
confidence: 99%
“…A common approach to evaluate a password in terms of its strength level is passwords rating. In [24] the authors categorized the techniques of the password strength rating into two major categories: 1-machine ratings and 2-human ratings. After that, they implemented a survey to measure how such ratings affect users' trust.…”
Section: Related Workmentioning
confidence: 99%
“…One source of the weak password problem is the conflict of security and usability of passwords: stronger passwords tend to be harder to remember, and easier-to-remember passwords tend to be easier to crack [16,18]. Human users tend to have different insecure behaviours around password creation, e.g., the mismatch between human users' misperception of a password's strength and its actual strength can lead to creation of weak passwords [1,18], and many users choose to reuse the same password across multiple accounts [12]. Such weak passwords have led to repeated leakage of passwords from many websites, including some very large-scale incidents.…”
Section: Introductionmentioning
confidence: 99%