Investing Data with Untrusted Parties using HE

Mark Dockendorf, Ram Dantu, Kirill Morozov, Sanjukta Bhowmick

2021

Abstract

Data such as an individual’s income, favorite sports team, typical commute route, vehicle maintenance history, medical records, etc. are typically not useful for making large-scale decisions such as where to build a new hospital, identifying which roads are in need of upkeep, and the like. However, aggregates of of these data across hundreds of individuals are useful to governments and to companies. Data cooperatives/unions offer a place for individuals to store their data and a service of data aggregation and interpretation to governments, non-profit organizations, and businesses while maintaining individuals’ anonymity. We propose the use of anonymization techniques coupled with graph algorithms over homomorphically encrypted (HE) graphs as a basis of analysis for this accumulated data. We believe this approach ensures individuals’ privacy and anonymity while preserving the usefulness of the plaintext data.

Paper Citation

in Harvard Style

Dockendorf M., Dantu R., Morozov K. and Bhowmick S. (2021). Investing Data with Untrusted Parties using HE. In Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT, ISBN 978-989-758-524-1, pages 845-853. DOI: 10.5220/0010606908450853

in Bibtex Style

@conference{secrypt21,
author={Mark Dockendorf and Ram Dantu and Kirill Morozov and Sanjukta Bhowmick},
title={Investing Data with Untrusted Parties using HE},
booktitle={Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT,},
year={2021},
pages={845-853},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010606908450853},
isbn={978-989-758-524-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT,
TI - Investing Data with Untrusted Parties using HE
SN - 978-989-758-524-1
AU - Dockendorf M.
AU - Dantu R.
AU - Morozov K.
AU - Bhowmick S.
PY - 2021
SP - 845
EP - 853
DO - 10.5220/0010606908450853