Hands-On Machine Learning for Cybersecurity

What this book covers

Chapter 1, Basics of Machine Learning in Cybersecurity, introduces machine learning and its use cases in the cybersecurity domain. We introduce you to the overall architecture for running machine learning modules and go, in great detail, through the different subtopics in the machine learning landscape.

Chapter 2, Time Series Analysis and Ensemble Modeling, covers two important concepts of machine learning: time series analysis and ensemble learning. We will also analyze historic data and compare it with current data to detect deviations from normal activity.

Chapter 3, Segregating Legitimate and Lousy URLs, examines how URLs are used. We will also study malicious URLs and how to detect them, both manually and using ...