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Research on Virus Detection Technology Based on Ensemble Neural Network and SVM

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Emerging Intelligent Computing Technology and Applications (ICIC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 304))

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Abstract

Computer viruses have become a serious threat to the information system. In this paper, taken ensemble learning as a guide, automatic virus detection technology is studied, where a novel approach based on the integration of dynamic virus detection and static detection is proposed. The detection system utilizes support vector machine as member classifier for viruses’ dynamic behavior modeling, and also uses probabilistic neural network as member classifier for static behavior modeling. Finally, the detection results from all member classifiers are integrated by D-S theory of evidence. Through the combination of heterogeneous classifiers, the accuracy of an ensemble virus detector has been improved.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Hunan Police Academy, Changsha, Hunan, 410138, China

    Boyun Zhang

  2. School of Computer Science, National University of Defense Technology, Changsha, Hunan, 410083, China

    Boyun Zhang & Jianping Yin

  3. School of Computer and Communication, Hunan University, Changsha, 410082, China

    Shulin Wang

Authors
  1. Boyun Zhang
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  2. Jianping Yin
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  3. Shulin Wang
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  3. Department of Chemistry, University of Louisville, 2320 South Brook Street, 40292, Louisville, Kentucky, USA

    Xiang Zhang

  4. School of Electrical, Computer & Telecommunications Engineering, The University of Wollongong,, 2522, North Wollongong, NSW, Australia

    Prashan Premaratne

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhang, B., Yin, J., Wang, S. (2012). Research on Virus Detection Technology Based on Ensemble Neural Network and SVM. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_53

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  • DOI: https://doi.org/10.1007/978-3-642-31837-5_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31836-8

  • Online ISBN: 978-3-642-31837-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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