E-commerce Transaction Information Security Model Based on Big Data Analysis

Abstract

The emergence of the Internet is a major change in human history. We have changed the traditional way of living and working, breaking time and geographical constraints, and bringing human society into the information age. With the continuous development of information technology, economic globalization and information networking have become an irreversible trend in the process of world economic development. Economic globalization is based on the information network, which promotes economic globalization. As a result of the combination of the two, e-commerce is an inevitable choice for modern economic development. The purpose of this article is to analyze the information security of e-commerce transactions based on big data. Through fuzzy comprehensive evaluation method and algorithm of Vague set. The fuzzy comprehensive evaluation method based on fuzzy set theory is based on fuzzy set. Vague set is more capable of describing uncertain information than fuzzy set. Therefore, this paper uses Vague set algorithm for analysis. This article evaluates the information security of an e-commerce company and uses questionnaires to interview relevant experts to obtain the original data. Using the algorithm of Vague set to process the data, it is concluded that according to the principle of maximum membership, and based on the above results, it can be concluded that the category of the e-commerce company’s data security in the evaluation set V is safe.