Browsing Faculty of Science by Subject "Security and privacy"
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Raising the bar for password crackers: improving the quality of honeywords with deep neural networks
(2022-12-01)Honeywords are fictitious passwords inserted into databases in order to identify password breaches. Producing honeywords that are difficult to distinguish from actual passwords automatically is a time-consuming and ...