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摘要
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.
- 出版日期2014-9
- 单位哈尔滨工业大学
