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Conference Papers Year : 2020

Management plane for differential privacy preservation through smart contracts


Blockchain has emerged as a novel solution addressing a plethora of industrial issues in domains spanning from financial to educational. However, several challenges restrict the widespread adoption of the technology and data privacy, with throughput and scalability issues, ranks amongst the foremost. In this paper, we introduce a novel privacy management plane which integrates differential privacy to query existing relational databases through the blockchain as well as spearheads the use of blockchain for local differential privacy. The distinguishing feature in the latter is that the privacy management plane gives the data owners the right to perturb their data with the desired privacy budget, while in the former it gives the right to the data curator to change the privacy budget dynamically while answering queries through the blockchain. The paper also includes experimental evaluation of the developed privacy management plane and integrates management operations in it through another smart contract. The paper addresses the issue of GDPR and it's implications in the context of blockchain data, while highlighting the compliance of the proposed implementation.
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hal-03088227 , version 1 (25-12-2020)


  • HAL Id : hal-03088227 , version 1


Nida Khan, Abdelkader Lahmadi, Zsofia Kräussl, Radu State. Management plane for differential privacy preservation through smart contracts. AICCSA 2020 - 17th ACS/IEEE International Conference on Computer Systems and Applications, Nov 2020, Antalya / Virtual, Turkey. ⟨hal-03088227⟩
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