Projects per year
Abstract
Average consensus is widely used in information fusion, and it requires information exchange between a set of nodes to achieve an agreement. Unfortunately, the information exchange may disclose the individual's private information, and this raises serious concerns for individual privacy in some applications. Hence, a privacy-preserving asynchronous averaging algorithm is proposed in this paper to maintain the privacy of each individual using Shamir's secret sharing scheme, as known from secure multiparty computation. The proposed algorithm is based on a lightweight cryptographic technique. It gives identical accuracy solution as the non-privacy concerned algorithm and achieves perfect security in clique-based networks without the use of a trusted third party. In each iteration of the algorithm, each individual's privacy in the selected clique is protected under a passive attack where the adversary controls some of the nodes. Finally, it also achieves robustness of up to one third transmission error.
Original language | English |
---|---|
Title of host publication | 27th European Signal Processing Conference |
Number of pages | 5 |
Publisher | IEEE Signal Processing Society |
Publication date | Sept 2019 |
Article number | 8903166 |
ISBN (Electronic) | 9789082797039 |
DOIs | |
Publication status | Published - Sept 2019 |
Event | 27th European Signal Processing Conference, EUSIPCO 2019 - Coruña, Spain Duration: 2 Sept 2019 → 6 Sept 2019 |
Conference
Conference | 27th European Signal Processing Conference, EUSIPCO 2019 |
---|---|
Country/Territory | Spain |
City | Coruña |
Period | 02/09/2019 → 06/09/2019 |
Series | Proceedings of the European Signal Processing Conference |
---|---|
ISSN | 2076-1465 |
Keywords
- Active attack
- Distributed average consensus
- Privacy-preserving
- Secure multiparty computation
- Shamir's secret sharing
Fingerprint
Dive into the research topics of 'A Privacy-Preserving Asynchronous Averaging Algorithm based on Shamir’s Secret Sharing'. Together they form a unique fingerprint.Projects
- 1 Finished
-
SECURE: Secure Estimation and Control Using Recursion and Encryption
Wisniewski, R., Christensen, M. G., Andersen, A. O., Mannov, A., Geil, O. & Jessen, J. F.
01/04/2018 → 30/11/2021
Project: Research
Research output
- 14 Citations
- 1 PhD thesis
-
Privacy-Preserving Distributed Processing Over Networks
Qiongxiu, L., 2021, Aalborg Universitetsforlag. 188 p.Research output: PhD thesis
Open AccessFile305 Downloads (Pure)