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


Zhang, W and Zhang, Y and Kim, TH, Detecting bad information in mobile wireless networks based on the wireless application protocol, Computing, 96, (9) pp. 855-874. ISSN 0010-485X (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Springer-Verlag Wien

DOI: doi:10.1007/s00607-013-0325-1


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.

Item Details

Item Type:Refereed Article
Keywords:mobile wireless network, wireless application protocol, information crawling, text classification, image recognition, 68N01
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Information security management
Objective Division:Information and Communication Services
Objective Group:Communication technologies, systems and services
Objective Field:Mobile technologies and communications
UTAS Author:Kim, TH (Dr Tai Kim)
ID Code:98883
Year Published:2014
Web of Science® Times Cited:7
Deposited By:Information and Communication Technology
Deposited On:2015-03-05
Last Modified:2017-11-18

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