November 2019
Intermediate to advanced
346 pages
9h 36m
English
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 ...