A look at granular access control of the big data security and privacy.

Sean Martin, CISSP | President, imsmartin

September 3, 2016

11 Slides

The Cloud Security Alliance (CSA) Big Data Working Group recently released a new handbook: The Big Data Security and Privacy Handbook: 100 Best Practices in Big Data Security and Privacy. The handbook includes 10 categories of consideration for the biggest challenges in big data security, including:

  1. Secure Computations in Distributed Programming Frameworks

  2. Security Best Practices for Non-Relational Data Stores

  3. Secure Data Storage and Transaction Logs

  4. Endpoint Input Validation / Filtering

  5. Real-Time Security / Compliance Monitoring

  6. Scalable and Composable Privacy-Preserving Analytics

  7. Cryptographic Technologies for Big Data

  8. Granular Access Control

  9. Granular Audits

  10. Data Provenance

Number 9 in the list--Granular Access Control—is described by CSA as “a tool that can be used to reduce data restriction without violating policies.”

Here's a closer look at this category, where the 10 best practices can also be applied to any system holding critical or otherwise sensitive data. 

For the full list of 100 best practices captured in the handbook visit:
https://cloudsecurityalliance.org/download/big-data-security-and-privacy-handbook/

For additional Big Data research from CSA visit:
https://cloudsecurityalliance.org/group/big-data/

 

About the Author(s)

Sean Martin

CISSP | President, imsmartin

Sean Martin is an information security veteran of nearly 25 years and a four-term CISSP with articles published globally covering security management, cloud computing, enterprise mobility, governance, risk, and compliance—with a focus on specialized industries such as government, finance, healthcare, insurance, legal, and the supply chain

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