Affiliations: College of Electronics and Information Science, Fujian Jiangxia University, Fuzhou, Fujian 350108, China | E-mail: zhaojie0591@126.com
Correspondence:
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Corresponding author: College of Electronics and Information Science, Fujian Jiangxia University, Fuzhou, Fujian 350108, China. E-mail: zhaojie0591@126.com.
Abstract: Due to the problems of high false positive rate and low abnormal detection rate in the current IoT node access security control method, based on this, this paper designs a new IoT node access security control method. Firstly, the information security sharing structure is designed, the data collection work is completed, and the data is preprocessed. The preprocessed data is then shared and backed up through blockchain technology. Finally, take the login time, number of logins, login time, number of query results, query time and number of queries as the access constraints, and complete the security control of the access to the IoT nodes by correctly setting the access authorization conditions. The experimental results show that the false positive rate of IoT access behavior detection is always lower than 0.3%, the detection rate of IoT access anomaly is low, the detection sensitivity is higher than 80%, and the node encryption complexity is low, which has certain application value.
Keywords: Blockchain technology, internet of things node access, safety control, access authorization conditions
