Efficient and privacy-preserving outsourced unbounded inner product computation in cloud computing-Reference-Cited by-同舟云学术

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Efficient and privacy-preserving outsourced unbounded inner product computation in cloud computing

Published:2024-08 Issue: Volume:153 Page:103190
ISSN:1383-7621
Container-title:Journal of Systems Architecture
language:en
Short-container-title:Journal of Systems Architecture

Author:

Yan Jiayun^ORCID,Chen Jie,Qian Chen,Fu Anmin,Qian Haifeng

Publisher

Elsevier BV

Reference34 articles.

1. An overview of cloud-fog computing: Architectures, applications with security challenges;Kunal;Secur. Priv.,2019

2. Federated learning: Challenges, methods, and future directions;Li;IEEE Signal Process. Mag.,2020

3. Blockchain: Challenges and applications;Tasatanattakool,2018

4. Blockchain challenges and opportunities: A survey;Zheng;Int. J. Web Grid Serv.,2018

5. Functional encryption: Definitions and challenges;Boneh,2011

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