Biblio

Filters: Author is Shay, Richard  [Clear All Filters]
2014-09-17
Mazurek, Michelle L., Komanduri, Saranga, Vidas, Timothy, Bauer, Lujo, Christin, Nicolas, Cranor, Lorrie Faith, Kelley, Patrick Gage, Shay, Richard, Ur, Blase.  2013.  Measuring Password Guessability for an Entire University. Proceedings of the 2013 ACM SIGSAC Conference on Computer &\#38; Communications Security. :173–186.
Despite considerable research on passwords, empirical studies of password strength have been limited by lack of access to plaintext passwords, small data sets, and password sets specifically collected for a research study or from low-value accounts. Properties of passwords used for high-value accounts thus remain poorly understood. We fill this gap by studying the single-sign-on passwords used by over 25,000 faculty, staff, and students at a research university with a complex password policy. Key aspects of our contributions rest on our (indirect) access to plaintext passwords. We describe our data collection methodology, particularly the many precautions we took to minimize risks to users. We then analyze how guessable the collected passwords would be during an offline attack by subjecting them to a state-of-the-art password cracking algorithm. We discover significant correlations between a number of demographic and behavioral factors and password strength. For example, we find that users associated with the computer science school make passwords more than 1.5 times as strong as those of users associated with the business school. while users associated with computer science make strong ones. In addition, we find that stronger passwords are correlated with a higher rate of errors entering them. We also compare the guessability and other characteristics of the passwords we analyzed to sets previously collected in controlled experiments or leaked from low-value accounts. We find more consistent similarities between the university passwords and passwords collected for research studies under similar composition policies than we do between the university passwords and subsets of passwords leaked from low-value accounts that happen to comply with the same policies.
2015-01-12
Ur, Blase, Kelly, Patrick Gage, Komanduri, Saranga, Lee, Joel, Maass, Michael, Mazurek, Michelle, Passaro, Timothy, Shay, Richard, Vidas, Timothy, Bauer, Lujo et al..  2012.  How Does Your Password Measure Up? The Effect of Strength Meters on Password Creation Security'12 Proceedings of the 21st USENIX conference on Security symposium.

To help users create stronger text-based passwords, many web sites have deployed password meters that provide visual feedback on password strength. Although these meters are in wide use, their effects on the security and usability of passwords have not been well studied.

We present a 2,931-subject study of password creation in the presence of 14 password meters. We found that meters with a variety of visual appearances led users to create longer passwords. However, significant increases in resistance to a password-cracking algorithm were only achieved using meters that scored passwords stringently. These stringent meters also led participants to include more digits, symbols, and uppercase letters.

Password meters also affected the act of password creation. Participants who saw stringent meters spent longer creating their password and were more likely to change their password while entering it, yet they were also more likely to find the password meter annoying. However, the most stringent meter and those without visual bars caused participants to place less importance on satisfying the meter. Participants who saw more lenient meters tried to fill the meter and were averse to choosing passwords a meter deemed "bad" or "poor." Our findings can serve as guidelines for administrators seeking to nudge users towards stronger passwords.