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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

security-inspired protocols

biblio

Visible to the public Making the Pedigree to Your Big Data Repository: Innovative Methods, Solutions, and Algorithms for Supporting Big Data Privacy in Distributed Settings via Data-Driven Paradigms

Submitted by aekwall on Mon, 08/24/2020 - 1:50pm
  • data analysis
  • big data privacy
  • security-inspired protocols
  • protocol checking
  • privacy-of-big-data
  • DRIPROM framework
  • distributed-big-data
  • distributed settings
  • data-driven aggregate-provenance privacy-preserving big multidimensional data
  • cloud settings
  • Human Factors
  • Proposals
  • security of data
  • Distributed databases
  • Metrics
  • data aggregation
  • pubcrawl
  • Resiliency
  • Data models
  • Protocols
  • data privacy
  • Big Data
  • Scalability
  • Cloud Computing
biblio

Visible to the public Pedigree-Ing Your Big Data: Data-Driven Big Data Privacy in Distributed Environments

Submitted by grigby1 on Wed, 03/06/2019 - 4:26pm
  • Data-driven big Data privacy
  • target big data repositories
  • summary data representatives
  • security-inspired protocols
  • security of data
  • pubcrawl
  • Protocols
  • protocol checking
  • Proposals
  • distributed processing
  • distributed environments
  • Distributed databases
  • data-driven privacy-preserving big data management
  • Big Data
  • data-driven aggregate-provenance privacy preserving big multidimensional data
  • data privacy
  • Data models
  • data analysis
  • computational overheads
  • Cloud Computing
  • Big Multidimensional Data
  • Big Distributed Data
  • Big Data Systems
  • big data privacy
  • Big Data Applications

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