November 2019
Intermediate to advanced
346 pages
9h 36m
English
Chapter 1, Machine Learning for Cybersecurity, covers the fundamental techniques of machine learning for cybersecurity.
Chapter 2, Machine Learning-Based Malware Detection, shows how to perform static and dynamic analysis on samples. You will also learn how to tackle important machine learning challenges that occur in the domain of cybersecurity, such as class imbalance and false positive rate (FPR) constraints.
Chapter 3, Advanced Malware Detection, covers more advanced concepts for malware analysis. We will also discuss how to approach obfuscated and packed malware, how to scale up the collection of N-gram features, and how to use deep learning to detect and even create malware.
Chapter 4, Machine Learning for Social ...