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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

Automatic Intrusion Detection

An intrusion detection system monitors a network or a collection of systems for malicious activity or policy violations. Any malicious activity or violation caught is stopped or reported. In this chapter, we will design and implement several intrusion detection systems using machine learning. We will begin with the classical problem of detecting spam email. We will then move on to classifying malicious URLs. We will take a brief detour to explain how to capture network traffic, so that we may tackle more challenging network problems, such as botnet and DDoS detection. We will construct a classifier for insider threats. Finally, we will address the example-dependent, cost-sensitive, radically imbalanced, and challenging ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content