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This paper has proposed a method of tampering detection base on webpage change features. It only tampers detection of changed webpages. It can get the webpage information through the webpage URL that inputted. Then judge whether the webpage changes according to this information. And calculate the relevant value after judging the webpage is changed. Next, gain the detection evidence by using the historical value of the webpage changes to training the model that was built in advance. Finally, tampering detection of the webpage based on the detection evidence and alarm confirmation. If the result of the detection is misdeclaration, the detection evidence will be retrained. The method can get the detection evidence through a training detection model for each webpage that will be detected. And experimentally verified that the accuracy and recall of the detection results were 98.32% and 99.12% respectively when the number of changes was 55 and the risk value was 1. |
IEEE/ICACT20210116 Slide.14
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