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Discipline: Computer Sciences and Information Management
Subcategory: Computer Science & Information Systems
Bathsheba Petty - Philander Smith College
A text-based password is a password composed of characters, numbers and symbols. They remain the most common way used to authenticate a user’s identity so that they may access applications of social media, mobile banking etc. Previous studies have shown the relationship between guessability and entropy of user passwords based on composition policies. We seek develop models measuring the entropy of user based passwords to test leaked passwords. We believe that the test will show that longer passwords, regardless of either special characters or case, are more secure than shorter passwords using our entropy values. This research will contribute a new way of measuring the password entropy and reinforce the theories regarding text based passwords.
Funder Acknowledgement(s): This study was supported by a HBCU-UP grant awarded to Philander Smith College, Little Rock, AR.
Faculty Advisor: Samar Swaid,
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