Privacy-preserving analysis for big data using cryptographic tools

Privacy-preserving analysis for big data using cryptographic tools

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We review the efforts to protect data privacy in the scenario of cloud computing and outsourcing computation. We pay special interest in the efficiency boost which is dedicated to properly handle the challenge of large data volume coming from the trend of big data. Differently from the previous chapter focusing on the technique of differential privacy, we discuss here the approaches for privacy -preserving data analysis using cryptographic tools.

Chapter Contents:

  • 2.1 Privacy-preserving data analysis
  • 2.1.1 Security model of privacy-preserving data analysis
  • 2.2 Encryption schemes with special properties
  • 2.2.1 Deterministic encryption and keyword search
  • 2.2.2 Order preserving encryption and range query
  • 2.2.3 Scalar-product-preserving encryption and nearest neighbor query
  • 2.2.4 Searchable symmetric encryption
  • 2.3 Schemes based on secure computation
  • 2.3.1 Secure computation
  • 2.3.2 Scalability of secure computation
  • 2.3.3 Secure computation on top of ORAM
  • 2.4 Features of reviewed solutions
  • 2.5 Summary
  • 2.6 Summary
  • References

Inspec keywords: cloud computing; cryptography; data privacy; Big Data

Other keywords: privacy -preserving data analysis; cryptographic tools; cloud computing; large data volume; Big data; outsourcing computation

Subjects: Internet software; Data security

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