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Privacy-Preserving Blockchain Technologies.

Dalton Cézane Gomes Valadares1,2, Angelo Perkusich1, Aldenor Falcão Martins3

  • 1Federal University of Campina Grande, Campina Grande 58429-900, PB, Brazil.

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This study examines seven blockchain technologies enhancing data privacy using confidential computing and secure multi-party computation. It answers key technical questions for decentralized applications, highlighting prominent privacy-focused solutions.

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confidential computingprivacy preservationsecuritytechnical analysistrusted execution environments

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Area of Science:

  • Computer Science
  • Information Security

Background:

  • Blockchains offer security and traceability but face privacy challenges due to public data.
  • Decentralized applications (dApps) require robust data privacy solutions.

Purpose of the Study:

  • To analyze blockchain technologies that implement data privacy mechanisms.
  • To evaluate these technologies against common decentralized application requirements.

Main Methods:

  • Reviewed documentation and chat channels for seven selected blockchain technologies.
  • Defined and answered seven technical questions relevant to dApp privacy needs.

Main Results:

  • Presented brief overviews of each blockchain technology.
  • Provided answers to the technical questions for each technology.
  • Summarized findings in a comparative table, identifying prominent solutions.

Conclusions:

  • Certain blockchain technologies effectively address data privacy concerns.
  • Confidential computing and secure multi-party computation are key enablers for private blockchains.