Sensible and secure IoT communication for digital twins, cyber twins, web twins

被引:0
作者
Feng H. [1 ]
Chen D. [2 ]
Lv H. [3 ]
机构
[1] School of Information Engineering, Zhejiang A & F University, Hangzhou
[2] Colleage of Computer Science and Technology, Qingdao University
[3] North China Sea Offshore Engineering Survey Institute, Ministry of Natural Resources North Sea Bureau
来源
Internet of Things and Cyber-Physical Systems | 2021年 / 1卷
关键词
Communication security; Cyber-physical system; Digital twin; IoT communication; Web twins;
D O I
10.1016/j.iotcps.2021.12.003
中图分类号
学科分类号
摘要
In order to effectively solve the current security problems encountered by smart wireless terminals in the digital twin biological network, to ensure the stable and efficient operation of the wireless communication network. This research aims to reduce the interference attack in the communication network, an interference source location scheme based on Mobile Tracker in the communication process of the Internet of Things (IoT) is designed. Firstly, this paper improves Attribute-Based Encryption (ABE) to meet the security and overhead requirements of digital twin networking communication. The access control policy is used to encrypt a random key, and the symmetric encryption scheme is used to hide the key. In addition, in the proposed interference source location technology, the influence of observation noise is reduced based on the principle of unscented Kalman filter, and the estimated interference source location is modified by the interference source motion model. In order to further evaluate the performance of the method proposed as the interference source, this paper simulates the jamming attack scenario. The Root Mean Square Error (RMSE) value of the proposed algorithm is 0.245 ​m, which is better than the ErrMin algorithm (0.313 ​m), and the number of observation nodes of the proposed algorithm is less than half of the ErrMin algorithm. To sum up, satisfactory results can be achieved by taking the Jamming Signal Strength (JSS) information as the observation value and estimating the location of the interference source and other state information based on the untracked Kalman filter algorithm. This research has significant value for the secure communication of the digital twins in the IoT. © 2021
引用
收藏
页码:34 / 44
页数:10
相关论文
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