科研成果详情

题名Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid
作者
发表日期2019
会议名称2nd EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018
会议录名称Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISBN978-303005927-9
ISSN1867-8211
卷号256
页码78-84
会议日期JUL 11, 2018
会议地点Niagara Falls, U.S.A.
摘要

The smart grid is regarded as one of the important application field of the Internet of Things (IoT) composed of embedded sensors, which sense and control the behavior of the energy world. IoT is attractive for features of grid catastrophe prevention and decrease of grid transmission line and reliable load fluctuation control. Automated Demand Response (ADR) in smart grids maintain demand-supply stability and in regulating customer side electric energy charges. An important goal of IoT-based demand-response using IoT is to enable a type of DR approach called automatic demand bidding (ADR-DB). However, compromised information board can be injected into during the DR process that influences the data privacy and security in the ADR-DB bidding process, while protecting privacy oriented consumer data is in the bidding process is must. In this work, we present a bidding approach that is secure and private for incentive-based ADR system. We use cryptography method instead of using any trusted third-party for the security and privacy. We show that proposed ADR bidding are computationally practical through simulations performed in three simulation environments.

关键词Compromised information injection Demand response Internet of Things (IoT) Privacy Security attack Smart grid
DOI10.1007/978-3-030-05928-6_8
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语种英语English
Scopus入藏号2-s2.0-85059699804
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/7166
专题个人在本单位外知识产出
通讯作者Wang, Guojun
作者单位
1.Department of Computer and Information Science, Fordham University, New York City, United States
2.School of Computer Science and Educational Software, Guangzhou University, Guangzhou, China
3.Department of Computer Science and Technology, Huaqiao University, Xiamen, China
4.Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Pekan, Malaysia
5.Department of Computer Science, Baoji University of Arts and Sciences, Baoji, China
推荐引用方式
GB/T 7714
Bhuiyan, Md Zakirul Alam,Zaman, Mdaliuz,Wang, Guojunet al. Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid[C], 2019: 78-84.
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