Research on Accurate Identification of Web Components Fingerprint Based on Integrated Learning

With the rapid development of web networking technology, using application components to build web websites has become the mainstream form of the current network environment. Website developers use this technology to build websites of various forms . But while components bring convenience to building websites, they also expose more network security issues, such as component vulnerabilities associated with web site vulnerabilities. Attacking a certain component can cause a large number of related web sites to crash. In view of this situation, the research work focuses on the research of Web Components fingerprint precise identification technology. By identifying Web Components fingerprints, we can obtain the component information of the website, and the R&D personnel can uniformly manage the identified component information, so that when a single component is attacked, we can give an early warning in time and reduce the scope of impact. The research work is divided into three aspects: first, design data collection and data preprocessing strategies to expand data sources; Secondly, the fingerprint identification model of Web Components is constructed by using integrated learning algorithm; Finally, the effectiveness of the work was verified through experimental comparative analysis.