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

Abstract

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.