On the Robustness of Power IOT against Attack Based on General Framework
文献类型：会议论文
| 作者 | Wang TY(王天宇)2,3,4 ; Zhao JM(赵剑明)2,3,4; Zhang BW(张博文)2,3,4
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| 出版日期 | 2021 |
| 会议日期 | December2-4, 2021 |
| 会议地点 | Xiamen, China |
| 关键词 | Disruptions Power IOT Robustness Vulnerable |
| 页码 | 220-226 |
| 英文摘要 | Power Internet of Things (IOT) is the application of Internet of things in smart grid and the result of the development of information and communication technology to a certain stage. It will effectively integrate communication infrastructure resources and power system infrastructure resources, and improve the informationize level of power system. However, real-world complex systems are often vulnerable under disruptions. Power IOT is facing with different types of attack, which contains natural disasters and human intentional attacks. Motivated by this point, we propose a general framework of Power IOT robustness with different structures against diverse attacks. Evaluation on example IOT networks shows the effectiveness of our framework, and the characteristics of different structure against attacks. Our study contributes to a better understanding of Power IOT robustness, and reveals the designation of the Power IOT network improves the robustness of the network. |
| 产权排序 | 1 |
| 会议录 | 2021 5th International Conference on Power and Energy Engineering, ICPEE 2021
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-2046-4 |
| 源URL | [http://ir.sia.cn/handle/173321/30503]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Wang TY(王天宇) |
| 作者单位 | 1.State Grid Jiangsu Electric Power Co., Ltd, Information Telecommunication Branch, Nanjing, China 2.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 4.Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, China |
| 推荐引用方式 GB/T 7714 | Wang TY,Zhao JM,Zhang BW. On the Robustness of Power IOT against Attack Based on General Framework[C]. 见:. Xiamen, China. December2-4, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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