“AI Slurps, Learns Millions of Passwords to Work out Which Ones You May Use Next”
A team of researchers at the Stevens Institute of Technology have released a paper, detailing a method in which they use machine learning systems to predict the passwords that users will use. The technique demonstrated by researchers called “PassGAN”, uses a generative adversarial network composed of two machine learning systems. Through the feeding of plain-text passwords gathered from a previous leak, the machine learning system is able to figure out the rules used by people in the generation of their passwords. This article further discusses ways in which password-stealing attacks can be performed and the demonstration of PassGAN by researchers.
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