MPCCache: Privacy-Preserving Multi-Party Cooperative Cache Sharing at the Edge

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We present MPCCache, an efficient Multi-Party Cooperative Cache sharing framework, which allows multiple network operators to determine a set of common data items with the highest access frequencies to be stored in their capacity-limited shared cache while guaranteeing the privacy of their individual datasets. The technical core of our MPCCache is a new construction that allows multiple parties to compute a specific function on the intersection set of their datasets, without revealing both the private data and the intersection itself to any party. We evaluate our protocols to demonstrate their efficacy and practicality. The numerical results show that MPCCache scales well to large datasets and achieves a few hundred times faster compared to a baseline scheme that optimally combines existing MPC protocols.

Original languageEnglish (US)
Title of host publicationFinancial Cryptography and Data Security - 26th International Conference, FC 2022, Revised Selected Papers
EditorsIttay Eyal, Juan Garay
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages20
ISBN (Print)9783031182822
StatePublished - 2022
Externally publishedYes
Event26th International Conference on Financial Cryptography and Data Security, FC 2022 - Saint George, Grenada
Duration: May 2 2022May 6 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13411 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference26th International Conference on Financial Cryptography and Data Security, FC 2022
CitySaint George

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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