@inproceedings{1e1df12654294926addf908b7e62b3c7,
title = "Personalized password guessing: A new security threat",
abstract = "This paper presents a model for generating personalized passwords (i.e., passwords based on user and service profile). A user's password is generated from a fist of personalized words, each word is drawn from a topic relating to a user and the service in use. The proposed model can be applied to: (i) assess the strength of a password (i.e., determine how many guesses are used to crack the password), and (ii) generate secure (i.e., contains digits, special characters, or capitalized characters) yet easy to memorize passwords.",
keywords = "Guessing, Password, Personalized, Suggestion",
author = "Phuong Cao and Hongyang Li and Klara Nahrstedt and Zbigniew Kalbarczyk and Ravishankar Iyer and Slagell, {Adam J.}",
year = "2014",
doi = "10.1145/2600176.2600198",
language = "English (US)",
isbn = "9781450329071",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the 2014 Symposium and Bootcamp on the Science of Security, HotSoS 2014",
address = "United States",
note = "2014 Symposium and Bootcamp on the Science of Security, HotSoS 2014 ; Conference date: 08-04-2014 Through 09-04-2014",
}