Zachary Monroe

Software engineering

Hometown: Chandler, Arizona

Graduation date: Spring 2018

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FURI | Spring 2018

How Can Machine Learning Improve Password Security?

Determining the strength of a password is a difficult endeavor. Many websites employ simple rules like mandating symbols or capital letters. While this sometimes increases password complexities, it also reduces the possibilities “hackers” must try. This research aims to develop a reliable, adaptable model to quickly determine a password’s value that is easy to use for the average user. It should be able to evolve through using new password sets, and different tests to fit current attack methods and should not decrease the keyspace associated with passwords that pass it.

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