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文章摘要
基于边缘计算的泛在电力物联网群组密钥管理算法研究
Research on group key management algorithm of Ubiquitous Power Internet of Things based on edge computing
Received:January 13, 2022  Revised:February 07, 2022
DOI:10.19753/j.issn1001-1390.2022.07.007
中文关键词: 泛在电力物联网  群组密钥  边缘计算
英文关键词: Ubiquitous power Internet of Things  Group key  Edge of computing
基金项目:雏鹰计划(2020CYJBGX0057, 2020CYJBGX0353),中小企业创新基金资助项目(No.2017FF1GJ023),专利优势示范企业基金资助项目(No.2017YBQCZ029),国家自然科学基金资助项目( No. 61972135),中国博士后科学基金(No.2019M650069)
Author NameAffiliationE-mail
Liu Qingyuan Northeast Forestry University 18103661148@163.com 
Liu Ruijia Fudan university lrj@fudan.edu.cn 
Wang Jian Northeast Forestry University wangj.nefu@nefu.edu.cn 
Li Xiaokun* Heilongjiang Hengxun Technology Co.,Ltd. Postdoctoral Programme li.xiaokun@163.com 
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中文摘要:
      随着泛在电力物联网的快速发展,其网络传输的可信任性与安全性开始成为其在关键领域中应用的基本前提。然而大多数现有的方案不适用于泛在电力物联网环境。本文在分布式密钥管理与边缘计算的框架下,提出了一种群组密钥加密算法。这种算法通过使用基于相同主题的节点群组构建算法构建分组,并且通过使用基于群组密钥管理的密钥分配算法等算法,减少了随着分组内结点增减而产生的重新派生新密钥以及结点之间传递密钥所需的系统开销,密钥生成节点无需和所有物联网节点建立通讯链路。本文还对方案的性能指标进行了评价,最终证明本文提出的密钥管理算法可提高设备性能,降低功耗,适用于泛在电力物联网的各种环境。
英文摘要:
      With the rapid development of the ubiquitous power Internet of Things, the trustworthiness and security of its network transmission have become the basic premise for its application in key fields. However, most of the existing solutions are not suitable for the ubiquitous power IoT environment. In this paper, a group key encryption algorithm is proposed under the framework of distributed key management and edge computing. This algorithm builds the group by using the node group construction algorithm based on the same topic, and reduces the re-derivation and new generation with the increase or decrease of nodes in the group by using algorithms such as the key distribution algorithm based on group key management. The key and the system overhead required to transfer the key between nodes, the key generation node does not need to establish a communication link with all IoT nodes. This paper also evaluates the performance indicators of the scheme, and finally proves that the key management algorithm proposed in this paper can improve device performance and reduce power consumption, and is suitable for various environments of ubiquitous power Internet of Things.
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