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

Information Security Analytics Finding Security Insights Patterns and Anomalies in Big Data Information Security Analytics gives you insights into the practice of analytics and importantly how you can utilize analytic techniques to identify trends and outliers that may not be possible to i

  • Title: Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data
  • Author: Mark Talabis Robert McPherson I. Miyamoto Jason Martin
  • ISBN: 9780128002070
  • Page: 416
  • Format: Paperback
  • Information Security Analytics gives you insights into the practice of analytics and, importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques.Information Security Analytics dispels the myth that analytics within the information security domain is limited toInformation Security Analytics gives you insights into the practice of analytics and, importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques.Information Security Analytics dispels the myth that analytics within the information security domain is limited to just security incident and event management systems and basic network analysis Analytic techniques can help you mine data and identify patterns and relationships in any form of security data Using the techniques covered in this book, you will be able to gain security insights into unstructured big data of any type.The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands on techniques through case studies and using freely available tools that will allow you to find anomalies and outliers by combining disparate data sets They also teach you everything you need to know about threat simulation techniques and how to use analytics as a powerful decision making tool to assess security control and process requirements within your organization Ultimately, you will learn how to use these simulation techniques to help predict and profile potential risks to your organization.Written by security practitioners, for security practitionersReal world case studies and scenarios are provided for each analytics techniqueLearn about open source analytics and statistical packages, tools, and applicationsStep by step guidance on how to use analytics tools and how they map to the techniques and scenarios providedLearn how to design and utilize simulations for what if scenarios to simulate security events and processesLearn how to utilize big data techniques to assist in incident response and intrusion analysis

    • ↠ Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data || Á PDF Read by ✓ Mark Talabis Robert McPherson I. Miyamoto Jason Martin
      416 Mark Talabis Robert McPherson I. Miyamoto Jason Martin
    • thumbnail Title: ↠ Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data || Á PDF Read by ✓ Mark Talabis Robert McPherson I. Miyamoto Jason Martin
      Posted by:Mark Talabis Robert McPherson I. Miyamoto Jason Martin
      Published :2018-07-15T12:33:13+00:00

    1 thought on “Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data”

    1. Great section on tm.The authors do confuse XSS and CSRF and have a few "interesting" strategies for digging through logs, but overall the book is fairly solid.

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