Secure multi-party computation with secret sharing for real-time data aggregation in IIoT-Reference-Cited by-同舟云学术

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Secure multi-party computation with secret sharing for real-time data aggregation in IIoT

Published:2024-08 Issue: Volume:224 Page:159-168
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Liu Dengzhi^ORCID,Yu Geng,Zhong Zhaoman,Song Yuanzhao

Funder

National Key Research and Development Program of China

Jiangsu Provincial Qinglan Project

Government of Jiangsu Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference34 articles.

1. The industrial internet of things (IIoT): An analysis framework;Boyes;Comput. Ind.,2018

2. Privacy-preserving dynamic auditing for regenerating code-based storage in cloud-fog-assisted IIoT;Liu;Internet Things,2024

3. Industrial internet of things: Recent advances, enabling technologies and open challenges;Khan;Comput. Electr. Eng.,2020

4. Mobile edge computing: A survey on architecture and computation offloading;Mach;IEEE Commun. Surv. Tutor.,2017

5. Toward secure distributed data storage with error locating in blockchain enabled edge computing;Liu;Comput. Stand. Interfaces,2022

Cited by 1 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. Analysis of Dynamic Scalable Data Center Data Aggregation System;Computer Science and Application;2024

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