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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

Deep learning for password cracking

Modern password cracking tools, such as John the Ripper, allow a hacker to test billions of potential passwords in a matter of seconds. Not only do such tools allow a hacker to try out every password in a dictionary of common passwords, but they can also automatically transform these passwords by using concatenation (for example, password1234), leetspeak (p4s5w0rd), and other promising techniques. Though these techniques are promising, finding additional promising transformations is a difficult task. The ML system known as PassGAN uses a generative adversarial network (GAN) to automatically learn such rules by observing large datasets of real passwords (gathered from a corpus of actual password leaks) and ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content