Title: Privacy data access control of internet of things based on user attributes
Authors: Rongzhi Lin; Yaofeng Miao
Addresses: College of Engineering, Xi'an International University, Xi'an 710077, China ' College of Engineering, Xi'an International University, Xi'an 710077, China
Abstract: Aiming at the problems of poor access security and long access time overhead of traditional privacy data access control methods, a privacy data access control of internet of things (IoT) based on user attributes is designed. Use data extraction technology to collect all data in the IoT, set privacy data constraints, complete the privacy data collection of the IoT, and fuse similar privacy data through similarity calculation. Set the structure of privacy data access in the IoT, and calculate the key weight of privacy data. The trust degree between private data is analysed with the help of user attributes, the confirmed data is sorted according to the trust degree, and encrypted to complete the access control of private data. Experimental results show that the maximum access security coefficient of this method is about 0.93. When the data is 10,000, the access time overhead is 0.20 s.
Keywords: user attributes; privacy data; access control; degree of trust.
International Journal of Reasoning-based Intelligent Systems, 2022 Vol.14 No.2/3, pp.67 - 72
Received: 21 Feb 2022
Accepted: 27 Apr 2022
Published online: 09 Sep 2022 *