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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

Insider threat detection

Insider threat is a complex and growing challenge for employers. It is generally defined as any actions taken by an employee that are potentially harmful to the organization. These can include actions such as unsanctioned data transfer or the sabotaging of resources. Insider threats may manifest in various and novel forms motivated by differing goals, ranging from a disgruntled employee subverting the prestige of an employer, to advanced persistent threats (APT).

The insider risk database of the CERT Program of the Carnegie Mellon University Software Engineering Institute contains the largest public archive of red team scenarios. The simulation is built by combining real-world insider risk case studies with actual ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content