Machine Learning for Cybersecurity Cookbook

Generating text using Markov chains

Markov chains are simple stochastic models in which a system can exist in a number of states. To know the probability distribution of where the system will be next, it suffices to know where it currently is. This is in contrast with a system in which the probability distribution of the subsequent state may depend on the past history of the system. This simplifying assumption allows Markov chains to be easily applied in many domains, surprisingly fruitfully.

In this recipe, we will utilize Markov chains to generate fake reviews, which is useful for pen-testing a review system's spam detector. In a later recipe, you will upgrade the technology from Markov chains to RNNs.