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A robust internet abuse detection method

Authors :
Zhiwei Yan
Xiaodong Lee
Zhou Fa
Guanggang Geng
Source :
IEEE BigData
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

JavaScript can modify HyperText Markup Language(HTML) code. tag of HTML can load pages from other websites. These technologies are widely used nowadays for constructing flexible and robust web services. However, illegal websites also use these technologies to hide illegal contents. For traditional methods using web text to detect these illegal webpages (just getting initial source codes that aren't parsed by a browser), they can't give a precise judgment. In this paper, we solved the challenge and proposed a robust Internet abuse detection method. We get HTML codes that had been parsed by simulating the progress how browsers work in order to gather the necessary materials for text detection methods. Besides, we not only extracted the text features of HTML code, but also extracted structure features of HTML codes. With the experiments under detecting Internet abuse scenarios, we demonstrated that the proposal is efficient.

Details

Database :
OpenAIRE
Journal :
2017 IEEE International Conference on Big Data (Big Data)
Accession number :
edsair.doi...........abe34e4be064e7c6b1e982ea99cadfb0
Full Text :
https://doi.org/10.1109/bigdata.2017.8258113