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Information Management 10 IT Security Books for Big Data Scientists


As the big data and cybersecurity markets converge with one another, each of these books examines new threats and new opportunities for data scientists who want to analyze and safeguard data.



Security is becoming one of key concerns for Big Data. Here is a list of 10 IT Security Books for Big Data scientists, compiled by Information Management.

security-big-data-books

  1. The Realities of Securing Big Data 1st Edition, by Davi Ottenheimer
    The Realities of Big Data helps IT leaders identify how and where to best protect Big Data environments from disclosure, disruption or loss.
  2. Data-Driven Security: Analysis, Visualization and Dashboards 1st Edition, by Jay Jacobs and Bob Rudis
    Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions.
  3. Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data 1st Edition, by multiple authors
    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.
  4. Hadoop Security: Protecting Your Big Data Platform 1st Edition, by Ben Spivey and Joey Echeverria
    This practical book not only shows Hadoop administrators and security architects how to protect Hadoop data from unauthorized access, it also shows how to limit the ability of an attacker to corrupt or modify data in the event of a security breach.
  5. Big Data: A Primer (Studies in Big Data), by Hrushikesha Mohanty, Prachet Bhuyan and Deepak Chenthati
    This book covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security.
  6. Application of Big Data for National Security: A Practitioner’s Guide to Emerging Technologies 1st Edition, by multiple authors
    This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue.
  7. Privacy and Big Data 1st Edition, by Terence Craig and Mary E. Ludloff
    This eye-opening book explores the raging privacy debate over the use of personal data, with one undeniable conclusion: once data’s been collected, we have absolutely no control over who uses it or how it is used.
  8. Network Security with NetFlow and IPFIX: Big Data Analytics for Information Security, 1st Edition, by Omar Santos
    This is the definitive guide to using NetFlow to strengthen network security. It covers what you need to successfully capture network telemetry and utilize big data analytics to improve IT security.
  9. To the Cloud: Big Data in a Turbulent World, by Vincent Mosco
    This book provides the first thorough analysis of the potential and the problems of a technology that may very well disrupt the world.
  10. Compromised Data: From Social Media to Big Data, by multiple authors
    At its core, this collection argues that we are witnessing a fundamental reshaping of the social through social data mining.

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