Privacy preserving classification on local differential privacy in data centers

Volume: 135, Pages: 70 - 82
Published: Jan 1, 2020
Abstract
With the rise of cloud service providers and the continuous virtualization of data centers, data center networks are also developing rapidly. As data centers become more and more complex, the demand for security increases dramatically. This paper discusses the privacy inherent in data centers. However, there is no general solution to the privacy problem in data centers due to the device heterogeneity. In this paper, we proposed a local...
Paper Details
Title
Privacy preserving classification on local differential privacy in data centers
Published Date
Jan 1, 2020
Volume
135
Pages
70 - 82
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