arrow
返回

Secure and efficient data storage and sharing scheme for blockchain-based mobile-edge computing

delete2021-06-06
delete40
PRE
AI
L
Lejun Zhang *
P
Peng Minghui
W
Weizheng Wang
Z
Zilong Jin
苏
苏延森 (Yansen Su)
H
Huiling Chen
DOI:10.1002/ett.4315delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
With the rapid development of Internet of Things (IoT) technology, IoT devices have been widely used to collect physiological health data and provide diversified services to the terminal users. However, traditional data storage and sharing scheme cloud computing based in IoT face many challenges. For example, IoT devices are usually resource-constrained (storage, computing power, battery capacity, etc.), data signed by IoT devices to ensure data integrity and authenticity will consume a lot of computing resources of IoT devices. At the same time, there is the challenge of high latency and unsafe data storage and sharing. To overcome these challenges, we propose a secure and efficient data storage and sharing scheme for blockchain-based mobile-edge computing. In our scheme, we construct the unique signature private key in a region into multiple key shares. IoT devices only need to submit the data and the random key shares allocated to the edge node. Edge node uses the recovered signature private key to realize data signature and homomorphic encryption. At the same time, the edge node will process timely data and return to the user. For data that need to be uploaded to the cloud for analysis, we use backup uploads to avoid data floods. Through experiments, it was found that our scheme can not only realize low-latency message response for the terminal users, but also realize anonymous identity verification while ensuring data integrity and authenticity. The key shares of the signature private key are stored in different blocks of the blockchain to improve fault tolerance. The content extraction signature algorithm ensures that the key shares stored in different blocks are publicly verifiable. Safety analysis and performance analysis verify the feasibility and effectiveness of our scheme.
Keyword:
TRAFFIC IDENTIFICATION
CLOUD STORAGE
AUTHENTICATION
REPUTATION
SELECTION
INTERNET
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Transactions on Emerging Telecommunications Technologies 封面图
Transactions on Emerging Telecommunications Technologies
IF:
2.5
论文数:
481
被引数:
3.9K

机构

C
City University of Hong Kong
学者数:
2.3W
论文数: 3.0W
被引数: 6.1W
W
Wenzhou University
学者数:
8.8K
论文数: 6.5K
被引数: 1.5W
Y
Yangzhou University
学者数:
2.8W
论文数: 1.9W
被引数: 3.3W
A
anhui university
学者数:
1.9W
论文数: 1.2W
被引数: 24
学者 查看更多机构
引用论文

引用论文

A Reputation Management Scheme for Efficient Malicious Vehicle Identification over 5G Networks
err2020-06-01
err54
PREAI
errSu, Shen; Tian, Zhihong; Liang, Siyu; Li, Shuang; Du, Shasha; Guizani, Nadra
err分享
err收藏
err分享
err收藏
Block Design-Based Key Agreement for Group Data Sharing in Cloud Computing
err2019-11-01
err169
PREAI
errShen, Jian; Zhou, Tianqi; He, Debiao; Zhang, Yuexin; Sun, Xingming; Xiang, Yang
err分享
err收藏
err分享
err收藏
Wireless Communications in the Era of Big Data
err2015-10-01
err184
errOAAI
errBi, Suzhi; Zhang, Rui; Ding, Zhi; Cui, Shuguang
err分享
err收藏
Secure Index for Resource-Constraint Mobile Devices in Cloud Computing
err2016-01-01
err9
errOAAI
errYao, Hanbing; Xing, Nana; Zhou, Junwei; Xia, Zhe
err分享
err收藏
err分享
err收藏
A Survey on Access Control in the Age of Internet of Things物联网时代的访问控制研究综述
err2020-06-01
err283
PREAI
errQiu, Jing; Tian, Zhihong; Du, Chunlai; Zuo, Qi; Su, Shen; Fang, Binxing
err分享
err收藏
Data mining and machine learning methods for sustainable smart cities traffic classification: A survey
err2020-09-01
err154
PREAI
errShafiq, Survey Muhammad; Tian, Zhihong; Bashir, Ali Kashif; Jolfaei, Alireza; Yu, Xiangzhan
err分享
err收藏
学者 查看更多内容