Leveraging Machine Learning for Hacking
When it comes to any sort of enforcement or security concern, it often helps to take the adversary’s point of view. That’s what this chapter does, to an extent. You won’t see any actual exploit code (which would be unethical, this isn’t a junior guide to a hacker’s paradise after all), but you will encounter methods that hackers use to employ machine learning (ML) to do things such as bypass Captcha and harvest information. Discovering the techniques used can greatly aid in your own security efforts.
The chapter also reviews some of the methods used to mitigate ML attacks by hackers by taking the hacker’s eye-view of things. This approach differs from previous chapters in that you’re no longer looking at building a higher wall or considering the hacker’s behavior based on their needs and wants, but rather looking at the world of computing from the perspective of how the hacker. In some...
