Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid
Author:
Affiliation:
1. State Key Laboratory of Integrated Service Networks and the Cryptographic Research Center, Xidian University, Xi’an, China
2. Secure Collaborative Intelligence Laboratory, Ant Group, Hangzhou, China
Funder
National Natural Science Foundation of China
Key Research and Development Program of Shaanxi
Innovation Scientists and Technicians Troop Construction Projects of Henan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Hardware and Architecture,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/71/9790018/09720954.pdf?arnumber=9720954
Reference35 articles.
1. PRIO: Private, robust, and scalable computation of aggregate statistics;corrigan-gibbs;Proc 14th Symp Networked Syst Des Implementation,0
2. A new public-key cryptosystem as secure as factoring
3. Improving the parallelized Pollard lambda search on anomalous binary curves
4. A FOG-based architecture and programming model for IoT applications in the smart grid;wang,2018
5. Short Signatures from the Weil Pairing
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. Practical Privacy-Preserving Scheme With Fault Tolerance for Smart Grids;IEEE Internet of Things Journal;2024-01-15
2. Multi-dimensional Data Aggregation Scheme without a Trusted Third Party in Smart Grid;Artificial Intelligence Security and Privacy;2024
3. Fault-Tolerant Data Aggregation with Error-Checking for Smart Grids;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14
4. SEMDA: Secure and Efficient Multidimensional Data Aggregation in Smart Grid without a Trusted Third Party;Security and Communication Networks;2023-02-01
5. Privacy-Preserving Data Aggregation with Dynamic Billing in Fog-Based Smart Grid;Applied Sciences;2023-01-05
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