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
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ISBN | 978-303005927-9 |
ISSN | 1867-8211 |
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 |
DOI | 10.1007/978-3-030-05928-6_8 |
URL | 查看来源 |
语种 | 英语English |
Scopus入藏号 | 2-s2.0-85059699804 |
引用统计 | |
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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