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User choice of PINs and passphrases
If you have a question about this talk, please contact Wei Ming Khoo.
This talk will highlight work from two upcoming papers at Financial Cryptography and USEC which includes the first empirical data on how humans choose numerical PINs or multi-word passphrases. Combined with the increasing amount of data on password choice, we can introduce new statistical metrics to evaluate the security provided by human-chosen distributions.
This talk is part of the Computer Laboratory Security Seminar series.
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Other listsGem's List Cambridge Neurological Society Symposium on Computational Biology
Other talksCambridge Rare Disease Network International Summit What’s new (and what isn’t) in improving quality and safety in healthcare Structural insights into severe malaria Lunchtime Talk: Helen's Bedroom Discriminative Embeddings of Latent Variable Models for Structured Data Political Economy of Public Health: Network Showcase 2016