Short Paper: Industrial Feasibility of Private Information Retrieval

Angela Jäschke, Björn Grohmann, Frederik Armknecht, Andreas Schaad

2017

Abstract

A popular security problem in database management is how to guarantee to a querying party that the database owner will not learn anything about the data that is retrieved — a problem known as Private Information Retrieval (PIR). While a variety of PIR schemes are known, they are rarely considered for practical use cases yet. We investigate the feasibility of PIR in the telecommunications world to open up data of carriers to external parties. To this end, we first provide a comparative survey of the current PIR state of the art (including ORAM schemes as a generalized concept) as well as implementation and analysis of two PIR schemes for the considered use case. While an overall conclusion is that PIR techniques are not too far away from practical use in specific cases, we see ORAM as a more suitable candidate for further R&D investment.

Paper Citation

in Harvard Style

Jäschke A., Grohmann B., Armknecht F. and Schaad A. (2017). Short Paper: Industrial Feasibility of Private Information Retrieval . In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017) ISBN 978-989-758-259-2, pages 395-400. DOI: 10.5220/0006382003950400

in Bibtex Style

@conference{secrypt17,
author={Angela Jäschke and Björn Grohmann and Frederik Armknecht and Andreas Schaad},
title={Short Paper: Industrial Feasibility of Private Information Retrieval},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)},
year={2017},
pages={395-400},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006382003950400},
isbn={978-989-758-259-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)
TI - Short Paper: Industrial Feasibility of Private Information Retrieval
SN - 978-989-758-259-2
AU - Jäschke A.
AU - Grohmann B.
AU - Armknecht F.
AU - Schaad A.
PY - 2017
SP - 395
EP - 400
DO - 10.5220/0006382003950400