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

机译:基于块链防攻算法的电子商务信息模糊检索系统

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摘要

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.
机译:目前的电子商务信息检索系统忽略了从计算机网络的分布式拒绝服务攻击的威胁,这导致低检索召回,准确性和效率。对于这个问题,本文提出了一种基于块链技术的电子商务信息模糊检索系统的设计方法。设计了电子商务信息的模糊检索系统,包括三层客户端,应用程序服务器和数据服务器。研究了系统使用的规则库的施工规则。给出了关联词列表,复合词列表和同义词列表的关键字扩展方法。系统的动态知识库是实时构建和更新。通过使用块链技术的防攻性能来实现系统中电子商务信息文档的安全控制。实验结果表明,该方法提高了系统的召回,准确性和平均精度,检索效率高。

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