Privacy of outsourced k-means clustering

Abstract

It is attractive for an organization to outsource its data analytics to a service provider who has powerful platforms and advanced analytics skills. However, the organization (data owner) may have concerns about the privacy of its data. In this paper, we present a method that allows the data owner to encrypt its data with a homomorphic encryption scheme and… (More)
DOI: 10.1145/2590296.2590332

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Citation Velocity: 16

Averaging 16 citations per year over the last 3 years.

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