Research on UCL-based trusted computing model of webpage content

With the development of Internet, the amount of information on the network increases, and the content security issues on the network become more prominent. Through the study of web information filtering technology and a variety of implementation methods, combining with UCL (uniform content locator) that is a new innovative technology concept, we discuss and design a new webpage filtering scheme, and propose a UCL-based trusted computing model of webpage content, which is using UCL technology to realize intelligent information filtering based on semantics. Based on the UCL semantic vector and Chinese corpus design, the model uses a reliability evaluation algorithm of webpage information content to realize reliability computing based on semantics. Furthermore, the model combines with the integrity detection and the source authentication of information, thus forming a collaborative content filtering mechanism which is of high efficiency and can satisfy the filtering accuracy rate. Finally, we present the prototype system. Studies have shown that due to less text content in UCL, the model is very suitable for fast processing and filtering of mass data, and has certain references and use values for network content security monitoring and information service mechanisms.