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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

How it works…

We start constructing our classifier by creating a catalog of all of the websites we wish to profile (step 1). The more there are, the more likely the target is to visit one of these. On the other hand, the fewer there are, the smaller the training dataset will have to be. In steps 2-4, we perform the steps required to collect a data point for our classifier. Specifically, we do so by visiting one of the websites defined in step 1 and then capture the packets for that visit. By repeating these steps for different browsing sessions, we are able to construct a robust dataset. In step 5, we train a classifier on our data, which we have collected up until now. We are now ready to test out our classifier. In step 6, we visit a website ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content