On the Privacy Impacts of Publicly Leaked Password Databases.
DIMVA(2017)
摘要
Regularly, hackers steal data sets containing user identifiers and passwords. Often these data sets become publicly available. The most prominent and important leaks use bad password protection mechanisms, e.g. rely on unsalted password hashes, despite longtime known recommendations. The accumulation of leaked password data sets allows the research community to study the problems of password strength estimation, password breaking and to conduct usability and usage studies. The impact of these leaks in terms of privacy has not been studied.
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关键词
Social Network, Ground Truth, Outlier Probability, Online Social Network, Dictionary Attack
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