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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

ML attacks on PUFs

Classical cryptography offers several measures for securing electronic devices. These mainly rely on a secret key and expensive resources due to the device permanently storing a piece of digital information that's unknown to our adversaries. In practice, it is difficult to keep this information confidential. This problem motivated the invention of PUF – physical devices that produce an output that's quick to evaluate yet hard to predict.

To authenticate using a PUF, we need to construct a database of Challenge-Response Pairs (CRPs). A challenge is a binary string (for example, 1100101...01) of length n, and a response is some other binary string of length m. To find out whether an unknown device is the aforementioned PUF, ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content