GraphSE$^2$: An Encrypted Graph Database for Privacy-Preserving Social Search
Abstract
In this paper, we propose GraphSE, an encrypted graph database for online social network services to address massive data breaches. GraphSE preserves the functionality of social search, a key enabler for quality social network services, where social search queries are conducted on a large-scale social graph and meanwhile perform set and computational operations on user-generated contents. To enable efficient privacy-preserving social search, GraphSE provides an encrypted structural data model to facilitate parallel and encrypted graph data access. It is also designed to decompose complex social search queries into atomic operations and realise them via interchangeable protocols in a fast and scalable manner. We build GraphSE with various queries supported in the Facebook graph search engine and implement a full-fledged prototype. Extensive evaluations on Azure Cloud demonstrate that GraphSE is practical for querying a social graph with a million of users.
Cite
@article{arxiv.1905.04501,
title = {GraphSE$^2$: An Encrypted Graph Database for Privacy-Preserving Social Search},
author = {Shangqi Lai and Xingliang Yuan and Shi-Feng Sun and Joseph K. Liu and Yuhong Liu and Dongxi Liu},
journal= {arXiv preprint arXiv:1905.04501},
year = {2019}
}
Comments
This is the full version of our AsiaCCS paper "GraphSE$^2$: An Encrypted Graph Database for Privacy-Preserving Social Search". It includes the security proof of the proposed scheme. If you want to cite our work, please cite the conference version of it