Zachary Monroe
Software engineering
Hometown: Chandler, Arizona
Graduation date: Spring 2018
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.
Mentor: Ajay Bansal
It’s hip to be square.
Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.