SMPG: Secure Multi Party Computation on Graph Databases

Nouf Aljuaid, Nouf Aljuaid, Alexei Lisitsa, Sven Schewe

2022

Abstract

In this position paper, we outline how secure multi-party querying can be brought to graph databases. Such a system will allow multiple users to jointly query federated graph databases that consist of several private parts. We have provided a proof of concept. Our prototype implementation for the SMPG system builds on top of Conclave (Volgushev et al., 2019), which was originally proposed and implemented for multi-party computation and querying on relational databases. We describe the templates of queries that are currently supported by our prototype and discuss current limitations as well as the extensions planned to tap the conceptual benefits.

Paper Citation

in Harvard Style

Aljuaid N., Lisitsa A. and Schewe S. (2022). SMPG: Secure Multi Party Computation on Graph Databases. In Proceedings of the 8th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-553-1, pages 463-471. DOI: 10.5220/0010876200003120

in Bibtex Style

@conference{icissp22,
author={Nouf Aljuaid and Alexei Lisitsa and Sven Schewe},
title={SMPG: Secure Multi Party Computation on Graph Databases},
booktitle={Proceedings of the 8th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2022},
pages={463-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010876200003120},
isbn={978-989-758-553-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - SMPG: Secure Multi Party Computation on Graph Databases
SN - 978-989-758-553-1
AU - Aljuaid N.
AU - Lisitsa A.
AU - Schewe S.
PY - 2022
SP - 463
EP - 471
DO - 10.5220/0010876200003120