Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data

Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data cover

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Pages: 182

Size: 1.025,30 Kb

Publication Date: December 10,2014

Category: Management Information Systems



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Information Protection Analytics offers you insights in to the practice of analytics and, moreover, ways to utilize analytic ways to identify tendencies and outliers that might not be possible to recognize using traditional security evaluation methods.

The authors of Information Protection Analytics bring an abundance of analytics encounter to show practical, hands-on methods through case research and using freely-available equipment that will enable you to discover anomalies and outliers by merging disparate data models. Analytic techniques will help you mine data and recognize patterns and relationships in virtually any type of security data. In addition they teach you all you need to learn about threat simulation methods and how to make use of analytics as a robust decision-making device to assess protection control and procedure requirements within your corporation.

Information Protection Analytics dispels the myth that analytics within the info security domain is bound to just protection incident and event administration systems and fundamental network evaluation. Using the methods covered in this reserve, it is possible to gain protection insights into unstructured big data of any type. Ultimately, become familiar with how to make use of these simulation ways to help predict and profile potential dangers to your company.

  • Compiled by protection practitioners, for protection practitioners
  • Real-globe case research and scenarios are given for every analytics technique
  • Find out about open-supply analytics and statistical deals, equipment, and applications
  • Step-by-step help with how exactly to use analytics equipment and how they map to the methods and scenarios offered
  • Discover ways to style and use simulations for “what-if” scenarios to simulate protection events and procedures
  • Learn to make use of big data ways to help out with incident response and intrusion evaluation


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