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A Network Data Extraction Method Based on Public Information Security

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Book cover Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 315))

Abstract

Network data extraction based on public information security is the application of network data collection technology to real-time monitoring of the net content. It calls for high speed and accuracy of data collection. Network forums, Blogs and news webpages are the major existing space for public information security data. This paper designed a data collector and proposed a data extraction method for forums, Blogs and news webpages.

This project is supported by Science and Technological Program for Dongguan′s Higher Education, Science and Research, and Health Care Institutions.

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References

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Author information

Authors and Affiliations

  1. Dongguan Polytechnic, Dongguan, Guangdong, China

    Zhiming Wang & Jie Guo

Authors
  1. Zhiming Wang
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  2. Jie Guo
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Editor information

Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  2. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  3. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  4. School of Electronics and Information, Tongji University, China, 201804, Shanghai, China

    Duoqian Miao

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wang, Z., Guo, J. (2012). A Network Data Extraction Method Based on Public Information Security. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2012. Communications in Computer and Information Science, vol 315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34240-0_24

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  • DOI: https://doi.org/10.1007/978-3-642-34240-0_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34239-4

  • Online ISBN: 978-3-642-34240-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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