An anti-tampering model of sensitive data in link network based on blockchain technology

Article type: Research Article

Authors: Li, Xianghong^{; *}

Affiliations: School of Trade and Logistics, Jiangsu Vocational Institute of Commerce, Nanjing 211168,China. E-mail: zhihongxinn@21cn.com

Correspondence: [*] Corresponding author. E-mail: zhihongxinn@21cn.com.

Abstract: In order to overcome the problems of traditional link network sensitive data anti tampering operation, such as long time-consuming and low data security, a tamper proof model of link network sensitive data based on blockchain technology is proposed. Calculate the evenly distributed random variables of sensitive node data and the difference of running distance to obtain the probability of meeting the sensitive data with other neighbor nodes, and determine the sensitive data in the link network; obtain the frequency domain of the sensitive data of the infected link network through the square difference function, and calculate the membership mean value of the infected data samples in the sensitive data; analyze the working principle of blockchain technology, Set the master key and public key of sensitive data, generate the encryption key of sensitive data of link network, and use blockchain technology to complete the design of tamper proof model of sensitive data in link network. The experimental results show that the shortest time-consuming of the proposed method is about 1 s, and the maximum tamper proof security factor is about 9.7.

Keywords: Blockchain technology, link network, sensitive data, encounter probability, square difference function, membership mean

DOI: 10.3233/WEB-210469

Journal: Web Intelligence, vol. 19, no. 3, pp. 227-237, 2021