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Cloud Security Alliance: 10 Ways To Achieve Access Control For Big Data

A look at granular access control of the big data security and privacy.
Choose appropriate level of granularity required
Normalize mutable elements, de-normalize immutable elements
Track secrecy requirements
Maintain access labels
Track admin data
Use standard single sign-on (SSO) mechanisms
Employ proper federation of authorization space
Incorporate proper implementation of secrecy requirements
Implement logical filter in application space
Develop protocols for tracking access restrictions
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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/

 

 
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