Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data
by Jason Martin, Mark Talabis, Robert Mcpherson, Inez Miyamoto
Information Security Analytics examines how big data can be used to uncover security insights, recognize meaningful patterns, and identify anomalies. It offers a focused introduction to the analytical perspective on information security for readers exploring data-driven security practices.
About This Book
Information Security Analytics focuses on the use of analytics to examine security-related data.
The book addresses methods for finding meaningful security insights within big data.
It also considers the identification of patterns and anomalies that may be relevant to information security.
Designed for readers interested in the intersection of big data and security analysis, this work presents its subject through a practical, focused lens.
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