Anonymous Data Collection Scheme from Short Group Signatures

Jan Hajny, Petr Dzurenda, Lukas Malina, Sara Ricci

2018

Abstract

Data collection schemes are used for secure and reliable data transfer from multiple remote nodes to a central unit. With the increasing importance of smart meters in energy distribution, smart house installations and various sensor networks, the need for secure data collection schemes becomes very urgent. Such schemes must provide standard security features, such as confidentiality and authenticity of transferred data, as well as novel features, such as the strong protection of user’s privacy and identification of malicious users. In this paper, we provide the full cryptographic specification of a novel scheme for secure privacy-friendly data collection that is designed for computationally restricted user devices and supports all the security, privacy-protection and inspection features. Using the scheme, data can be anonymously collected from almost all types of devices, including simple sensors and smart meters. On the other side, malicious users can be efficiently identified and revoked. Furthermore, we provide the practical results of our implementation of the scheme on embedded devices, smart phones, smart cards, smart watches, computers and servers so that the efficiency can be thoroughly evaluated on various platforms.

Paper Citation

in Harvard Style

Hajny J., Dzurenda P., Malina L. and Ricci S. (2018). Anonymous Data Collection Scheme from Short Group Signatures.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: SECRYPT, ISBN 978-989-758-319-3, pages 200-209. DOI: 10.5220/0006858602000209

in Bibtex Style

@conference{secrypt18,
author={Jan Hajny and Petr Dzurenda and Lukas Malina and Sara Ricci},
title={Anonymous Data Collection Scheme from Short Group Signatures},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: SECRYPT,},
year={2018},
pages={200-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006858602000209},
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 - Anonymous Data Collection Scheme from Short Group Signatures
SN - 978-989-758-319-3
AU - Hajny J.
AU - Dzurenda P.
AU - Malina L.
AU - Ricci S.
PY - 2018
SP - 200
EP - 209
DO - 10.5220/0006858602000209