Mimic Web System Based on Multi-dimensional Fuzzy Decision-making Method

In order to deal with the increasingly complex security threats of Web services and enhance the defense capabilities, as well as improve the efficiency of Web services adapting to the mimic architecture, a mimic Web system based on a multi-dimensional fuzzy decision-making method is proposed. Firstly, the basic principle of mimic defense and its application potential in Web service security are analyzed. A fuzzy processing method and multi-dimensional decision-making rules suitable for Web service security are designed. On this basis, a complete architecture of the Web mimic defense system is developed, including modules such as data collection, fuzzy processing, decision analysis, and feedback control. Subsequently, an evaluation index system covering multiple dimensions such as security, adaptability, and performance is constructed, and a series of tests are carried out on the system. The experimental results show that this method can effectively identify and deal with various attack scenarios, significantly improving the security and robustness of Web services. At the same time, it effectively reduces the workload of the mimic adaptation of Web services, which has important theoretical significance and practical application value.