Privacy-Preserving Data Aggregation Scheme for E-Health-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Privacy-Preserving Data Aggregation Scheme for E-Health

Published:2022-12-13 Issue: Volume: Page:638-646
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Watkins Matthew,Dorsey Colby,Rennier Daniel,Polley Timothy,Sherif Ahmed,Elsersy Mohamed

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20429-6_57

Reference9 articles.

1. Almalki, F.A., Soufiene, B.O.: EPPDA: an efficient and privacy-preserving data aggregation scheme with authentication and authorization for IoT-based healthcare applications. Wirel. Commun. Mobile Comput. 2021, Article ID 5594159, 18 p., March 2021

2. Ara, A., Al-Rodhaan, M., Tian, Y., Al-Dhelaan, A.: A secure privacy-preserving data aggregation scheme based on bilinear elgamal cryptosystem for remote health monitoring systems. IEEE Access 5, 12601–12617 (2017)

3. Ullah, A., Azeem, M., Ashraf, H., Alaboudi, A.A., Humayun, M., Jhanjhi, N.Z.: Secure Hhealthcare data aggregation and transmission in IOT—a survey. IEEE Access 9, 16849–16865 (2021)

4. Rezaeibagha, F., Mu, Y., Huang, K., Chen, L.: Secure and efficient data aggregation for IoT monitoring systems. IEEE Internet Things J. 8(10), 8056–8063 (2021)

5. Tang, W., Ren, J., Deng, K., Zhang, Y.: Secure Data Aggregation of lightweight E-healthcare IoT devices with fair incentives. IEEE Int. Things J. 6(5), 8714–8726 (2019). https://doi.org/10.1109/JIOT.2019.2923261

Cited by 2 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. Privacy-Aware and Hardware Acceleration-Based Aggregation Scheme for Smart Grid Networks;2023 Eighth International Conference On Mobile And Secure Services (MobiSecServ);2023-11-04

2. Privacy-Preserving Data Sharing Scheme for E-Health Systems;2023 9th International Conference on Information Technology Trends (ITT);2023-05-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3