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Data-driven security : analysis, visualization and dashboards / Jay Jacobs and Bob Rudis

By: Contributor(s): Material type: TextTextPublication details: Indiana : Wiley, c2014Description: xix, 331 pages : illustrations ; 23 cmISBN:
  • 9781118793725
Subject(s): LOC classification:
  • QA 76.9.A25 .J33 2014
Contents:
Chapter 1. The Journey to data-driven security -- Chapter 2. Building your analytics toolbox : a primer on using R and python for security analysis -- Chapter 3. learning the "hello world" of security data analysis -- Chapter 4. Performing exploratory security data analysis -- Chapter 5. From maps to regression -- Chapter 6. Visualizing security data -- chapter 7. Learning from security breaches -- Chapter 8 . Breaking up with your relational database -- Chapter 9. Demystifying machine learning -- Chapter 10. Designing effective security dashboards -- Chapter 11. Building interactive security visualizations -- Chapter 12. Moving toward data-driven security.
Summary: Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful data analysis and visualization.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Graduate Studies General Circulation Gen. Ed. - CCIT GC QA 76.9.A25 .J33 2014 (Browse shelf(Opens below)) c.1 Available NULIB000009210

Includes bibliographical references and index.

Chapter 1. The Journey to data-driven security -- Chapter 2. Building your analytics toolbox : a primer on using R and python for security analysis -- Chapter 3. learning the "hello world" of security data analysis -- Chapter 4. Performing exploratory security data analysis -- Chapter 5. From maps to regression -- Chapter 6. Visualizing security data -- chapter 7. Learning from security breaches -- Chapter 8 . Breaking up with your relational database -- Chapter 9. Demystifying machine learning -- Chapter 10. Designing effective security dashboards -- Chapter 11. Building interactive security visualizations -- Chapter 12. Moving toward data-driven security.

Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful data analysis and visualization.

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