Confidential, Decentralized Location-Based Data Services (Short Paper)

Author Benjamin Adams



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Author Details

Benjamin Adams
  • Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand

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Benjamin Adams. Confidential, Decentralized Location-Based Data Services (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 12:1-12:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/LIPIcs.GIScience.2023.12

Abstract

There are many privacy risks when location data is collected and aggregated. We introduce the notion of using confidential smart contracts for building location-based decentralized applications that are privacy preserving. We describe a spatial library for smart contracts that run on Secret Network, a blockchain network that runs smart contracts in secure enclaves running in trusted execution environments. The library supports not only basic geometric operations but also cloaking and differential privacy mechanisms applied to spatial data stored in the contract.

Subject Classification

ACM Subject Classification
  • Security and privacy → Human and societal aspects of security and privacy
  • Security and privacy → Economics of security and privacy
Keywords
  • spatial data
  • privacy
  • smart contract
  • differential privacy

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References

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