Privacy-Preserving Aggregation of Time-Series Data with Public Verifiability from Simple Assumptions and Its Implementations-Reference-Cited by-同舟云学术

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Privacy-Preserving Aggregation of Time-Series Data with Public Verifiability from Simple Assumptions and Its Implementations

Published:2018-12-27 Issue:4 Volume:62 Page:614-630
ISSN:0010-4620
Container-title:The Computer Journal
language:en
Short-container-title:

Author:

Emura Keita¹^ORCID,Kimura Hayato²,Ohigashi Toshihiro¹²,Suzuki Tatsuya¹²

Affiliation:

1. Cybersecurity Research Institute, Security Fundamentals Laboratory, National Institute of Information and Communications Technology (NICT), 4-2-1 Nukui-Kitamachi, Koganei, Tokyo, Japan

2. Tokai University, 2-3-23, Takanawa, Minato-ku, Tokyo, Japan

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

Link

http://academic.oup.com/comjnl/article-pdf/62/4/614/28247463/bxy135.pdf

Reference66 articles.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A privacy-preserving federated learning with a secure collaborative for malware detection models using Internet of Things resources;Internet of Things;2024-04

2. Privacy-preserving and verifiable data aggregation for Internet of Vehicles;Computer Communications;2024-03

3. A Robust and Lightweight Privacy-Preserving Data Aggregation Scheme for Smart Grid;IEEE Transactions on Dependable and Secure Computing;2024-01

4. Efficient Non-interactive Anonymous Communication;IFIP Advances in Information and Communication Technology;2024

5. Lightweight and Verifiable Secure Aggregation for Multi-dimensional Data in Edge-enhanced IoT;Computer Networks;2023-12

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