SMPG: Secure Multi Party Computation on Graph Databases

Nouf Aljuaid; Nouf Aljuaid; Alexei Lisitsa; Sven Schewe

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Paper

SMPG: Secure Multi Party Computation on Graph Databases

Topics: Cryptographic Algorithms; Database Security

In Proceedings of the 8th International Conference on Information Systems Security and Privacy ICISSP - Volume 1, 463-471, 2022

Authors: Nouf Aljuaid ^{1

;

2} ; Alexei Lisitsa ¹ and Sven Schewe ¹

Affiliations: ¹ Department of Computer Science, University of Liverpool, Liverpool, U.K. ; ² Department of Information Technology, Taif University, Saudi Arabia

Keyword(s): Graph Databases, Secure Multi-party Computations, Multi-party Querying, Federated Databases, Secure Data Processing.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:

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 - ICISSP; ISBN 978-989-758-553-1; ISSN 2184-4356, SciTePress, pages 463-471. DOI: 10.5220/0010876200003120

@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 - ICISSP},
year={2022},
pages={463-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010876200003120},
isbn={978-989-758-553-1},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Information Systems Security and Privacy - ICISSP
TI - SMPG: Secure Multi Party Computation on Graph Databases
SN - 978-989-758-553-1
IS - 2184-4356
AU - Aljuaid, N.
AU - Lisitsa, A.
AU - Schewe, S.
PY - 2022
SP - 463
EP - 471
DO - 10.5220/0010876200003120
PB - SciTePress