Secure Grouping and Aggregation with MapReduce

Radu Ciucanu, Matthieu Giraud, Pascal Lafourcade, Lihua Ye

2018

Abstract

MapReduce programming paradigm allows to process big data sets in parallel on a large cluster. We focus on a scenario where the data owner outsources her data on an honest-but-curious server. Our aim is to evaluate grouping and aggregation with SUM, COUNT, AVG, MIN, and MAX operations for an authorized user. For each of these five operations, we assume that the public cloud provider and the user do not collude i.e., the public cloud does not know the secret key of the user. We prove the security of our approach for each operation.

Paper Citation

in Harvard Style

Ciucanu R. and Giraud M. (2018). Secure Grouping and Aggregation with MapReduce.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: SECRYPT, ISBN 978-989-758-319-3, pages 348-355. DOI: 10.5220/0006843803480355

in Bibtex Style

@conference{secrypt18,
author={Radu Ciucanu and Matthieu Giraud},
title={Secure Grouping and Aggregation with MapReduce},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: SECRYPT,},
year={2018},
pages={348-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006843803480355},
isbn={978-989-758-319-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: SECRYPT,
TI - Secure Grouping and Aggregation with MapReduce
SN - 978-989-758-319-3
AU - Ciucanu R.
AU - Giraud M.
PY - 2018
SP - 348
EP - 355
DO - 10.5220/0006843803480355