Interactive visualization of serial periodic data
Proceedings of the 11th annual ACM symposium on User interface software and technology
Visualization of Linear Time-Oriented Data: A Survey
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 1 - Volume 1
Security Data Visualization
A large-scale study of web password habits
Proceedings of the 16th international conference on World Wide Web
Visualizing time-oriented data-A systematic view
Computers and Graphics
Visual Methods for Analyzing Time-Oriented Data
IEEE Transactions on Visualization and Computer Graphics
Sesame: informing user security decisions with system visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
VisGets: Coordinated Visualizations for Web-based Information Exploration and Discovery
IEEE Transactions on Visualization and Computer Graphics
Participatory Visualization with Wordle
IEEE Transactions on Visualization and Computer Graphics
Testing metrics for password creation policies by attacking large sets of revealed passwords
Proceedings of the 17th ACM conference on Computer and communications security
IEEE Transactions on Visualization and Computer Graphics
The Science of Guessing: Analyzing an Anonymized Corpus of 70 Million Passwords
SP '12 Proceedings of the 2012 IEEE Symposium on Security and Privacy
A Research Agenda Acknowledging the Persistence of Passwords
IEEE Security and Privacy
Measuring password guessability for an entire university
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
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We begin an investigation into the semantic patterns underlying user choice in passwords. Understanding semantic patterns provides insight into how people choose passwords, which in turn can be used to inform usable password policies and password guidelines. As semantic patterns are difficult to recognize automatically, we turn to visualization to aid in their discovery. We focus on dates in passwords, designing an interactive visualization for their detailed analysis, and using it to explore the RockYou dataset of over 32 million passwords. Our visualization enabled us to analyze the dataset in many dimensions, including the relationship between dates and their co-occurring text. We use our observations from the visualization to guide further analysis, leading to our findings that nearly 5% of passwords in the RockYou dataset represent pure dates (either purely numerical or mixed alphanumeric representations) and the presence of many patterns within the dates that people choose (such as repetition, the first days of the month, recent years, and holidays).