Research Article
GIP3: Make Privacy Preserving be Easier on Cloud
@ARTICLE{10.4108/eai.25-6-2021.170249, author={Shiying Pan and Can Yang and Runmin Li}, title={GIP3: Make Privacy Preserving be Easier on Cloud}, journal={EAI Endorsed Transactions on Security and Safety}, volume={8}, number={27}, publisher={EAI}, journal_a={SESA}, year={2021}, month={1}, keywords={Anonymity, Cloud Computing, Data Privacy Preserving SaaS, Web Service}, doi={10.4108/eai.25-6-2021.170249} }- Shiying Pan
Can Yang
Runmin Li
Year: 2021
GIP3: Make Privacy Preserving be Easier on Cloud
SESA
EAI
DOI: 10.4108/eai.25-6-2021.170249
Abstract
The lack of data privacy preserving tools in the cloud is an urgent issue to solve today. To meet the needs of data sharing and data publishing, this paper proposed a cloud-oriented privacy preserving framework, in which we designed and implemented a SaaS data privacy preserving platform, called GIP3 (General Web Data Interface - Privacy Preserving Protocol). This platform supports a variety of mainstream privacy preserving approaches, and users can use them to implement data privacy preserving and evaluate the utility of data with different information loss metrics. This platform integrates with an general web data interface to perform a cloud-oriented multi-tenant data management, which provides a complete data service chain from system construction, collection, management and maintenance, privacy preserving, to publishing. In a word, it makes data privacy preserving be easier on the cloud.
Copyright © 2021 Shiying Pan et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
