E-business information fuzzy retrieval system based on block chain anti-attack algorithm

Abstract

The current e-business information retrieval system ignores the threat of distributed denial of service attack from computer network, which results in low retrieval recall, accuracy, and efficiency. For this problem, a design method of fuzzy retrieval system for e-business information based on block chain technology is proposed in this paper. A fuzzy retrieval system of e-business information is designed, which includes three layers of client, application server and data server. The construction rules of the rule library used by the system are researched. The keyword expansion method of association word list, compound word list and synonymous word list is given. The dynamic knowledge base of the system is built and updated in real-time. Security control of e-business information documents in the system is implemented by using anti-attack performance of block chain technology. Experimental results show that the proposed method improves the recall, accuracy and average accuracy of the system and the retrieval efficiency is high.