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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

Network behavior anomaly detection

Network behavior anomaly detection (NBAD) is the continuous monitoring of a network for unusual events or trends. Ideally, an NBAD program tracks critical network characteristics in real time and generates an alarm if a strange event or trend is detected that indicates a threat. In this recipe, we will build an NBAD using machine learning.

The dataset used is a modified subset from a famous dataset known as the KDD dataset, and is a standard set for testing and constructing IDS systems. This dataset contains a wide variety of intrusions simulated in a military network environment.

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Publisher Resources

ISBN: 9781789614671Supplemental Content