Privacy-preserving and verifiable secure data aggregation for a national carbon emissions monitoring platform

Xiuli Huang; Hongbin Zhu; Pengfei Yu; Yujia Zhai

doi:10.1117/12.3025597

8 April 2024 Privacy-preserving and verifiable secure data aggregation for a national carbon emissions monitoring platform

Xiuli Huang, Hongbin Zhu, Pengfei Yu, Yujia Zhai

Author Affiliations +

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130904I (2024) https://doi.org/10.1117/12.3025597
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

To obtain carbon peaking and carbon neutrality goals, it is necessary to establish a national carbon emission platform for monitoring and reporting carbon dioxide equivalent. Energy data contains a good deal of important data and hence is required to be securely shared. Secure data aggregation solutions are an effective method that enables the process of adding up the contributions from several parties without revealing their inputs. Most of these solutions can be achieved using Paillier encryption, which inherently has multiple rounds of communication for aggregating ciphertexts. In this work, we present a privacy-preserving and verifiable secure data aggregation for a national carbon emissions monitoring service system, which can be verifiable encryption. To achieve verification, we apply zero-knowledge proofs to enable underlying threshold encryption and bilinear aggregate signature to detect the validity of the summation results. Finally, we show the correctness, verification, and informal security analysis of our solution. Compared with the existing scheme, our work can reduce the number of rounds for aggregating ciphertexts and is suitable for the national carbon emission platform.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiuli Huang, Hongbin Zhu, Pengfei Yu, and Yujia Zhai "Privacy-preserving and verifiable secure data aggregation for a national carbon emissions monitoring platform", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130904I (8 April 2024); https://doi.org/10.1117/12.3025597

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