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Detecting bad information in mobile wireless networks based on the wireless application protocol

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Abstract

The scale of mobile wireless networks is increasing sharply. However, many websites in the WAP networks contain obscenity information, viruses, and Trojans. How to crawl, judge and locate these bad websites is a challenging problem. In this article, a WAP bad information detection system is proposed, which contains crawling, judgment and location subsystems to identify bad WAP websites. The distributed crawling is adapted to break the IP limitation of WAP networks. Text and image automatic classification are introduced in the judgment subsystem. The location subsystem can locate the bad sites and collect the evidence. The experiment results verify that our WAP bad information detection system has high efficiency and accuracy.

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Acknowledgments

This work was supported by the National Basic Research Program of China under Grant No. G2011CB302605, the National Natural Science Foundation of China (NSFC) under grant No. 61173145, and the National High Technology Research and Development Program of China under Grant No. 2011AA010705.

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, HL, China

    Weizhe Zhang & You Zhang

  2. School of Computer and Information Science, University of Tasmania, Virginia Court, Sandy Bay, TAS, Australia

    Tai-Hoon Kim

Authors
  1. Weizhe Zhang
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  2. You Zhang
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  3. Tai-Hoon Kim
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Correspondence to Weizhe Zhang.

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Zhang, W., Zhang, Y. & Kim, TH. Detecting bad information in mobile wireless networks based on the wireless application protocol. Computing 96, 855–874 (2014). https://doi.org/10.1007/s00607-013-0325-1

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  • DOI: https://doi.org/10.1007/s00607-013-0325-1

Keywords

Mathematics Subject Classification (2010)

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