SEBDA: A Secure and Efficient Blockchain Based Data Aggregation Scheme

Sehrish Shafeeq, Mathias Fischer

2023

Abstract

Data aggregation plays a vital role in collecting and summarizing data in the Internet of Things (IoT). Data aggregation results are used to make a critical decision; therefore, the end-to-end integrity of the data aggregation result is of utmost importance. Recently, blockchain-based data aggregation approaches have been proposed that mainly focus on data confidentiality. However, existing approaches ignore two important requirements 1) the end-to-end integrity of data aggregation result and 2) the system’s scalability. This paper proposes a blockchain-based data aggregation scheme to detect end-to-end integrity of aggregation results and identify malicious aggregators. Furthermore, we improve the efficiency and scalability of the system by leveraging a sidechain. Our simulation results indicate that the proposed system improves efficiency and scalability compared to conventional blockchain-based data aggregation.

Paper Citation

in Harvard Style

Shafeeq S. and Fischer M. (2023). SEBDA: A Secure and Efficient Blockchain Based Data Aggregation Scheme. In Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-666-8, SciTePress, pages 369-376. DOI: 10.5220/0012077900003555

in Bibtex Style

@conference{secrypt23,
author={Sehrish Shafeeq and Mathias Fischer},
title={SEBDA: A Secure and Efficient Blockchain Based Data Aggregation Scheme},
booktitle={Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2023},
pages={369-376},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012077900003555},
isbn={978-989-758-666-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - SEBDA: A Secure and Efficient Blockchain Based Data Aggregation Scheme
SN - 978-989-758-666-8
AU - Shafeeq S.
AU - Fischer M.
PY - 2023
SP - 369
EP - 376
DO - 10.5220/0012077900003555
PB - SciTePress