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Re-thinking Kernelized MLS Database Architectures in the Context of Cloud-Scale Data Stores

  • Thuy D. Nguyen
  • Mark Gondree
  • Jean Khosalim
  • Cynthia Irvine
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8978)

Abstract

We re-evaluate the kernelized, multilevel secure (MLS) relational database design in the context of cloud-scale distributed data stores. The transactional properties and global integrity properties for schema-less, cloud-scale data stores are significantly relaxed in comparison to relational databases. This is a new and interesting setting for mandatory access control policies, and has been unexplored in prior research. We describe the design and implementation of a prototype MLS column-store following the kernelized design pattern. Our prototype is the first cloud-scale data store using an architectural approach for highassurance; it enforces a lattice-based mandatory information flow policy, without any additional trusted components.We highlight several promising avenues for practical systems research in secure, distributed architectures implementing mandatory policies using Java-based untrusted subjects.

Keywords

Cloud Computing Region Server Hadoop Distribute File System Separation Policy Server Blade 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Thuy D. Nguyen
    • 1
  • Mark Gondree
    • 1
  • Jean Khosalim
    • 1
  • Cynthia Irvine
    • 1
  1. 1.Department of Computer ScienceNaval Postgraduate SchoolMontereyUSA

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