Network Security Evaluation Based on Support Vector Machine

  • Xiang Chen
  • Yun Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 225)


Network safety risk assessment of the solution is a key part of network security. Support vector machine method to overcome the defects of the traditional evaluation method (such as neural network method) of the nonlinear and local minimum value. This paper describes the content and index of network safety risk assessment, and puts forward a network safety risk assessment method based on support vector machine. The experimental results show that the method is feasible and effective.


Risk evaluation Support vector machine Network security 


  1. 1.
    Feng DG, Zhang Y, Zhang YQ (2010) Survey of information security risk evaluation. J China Inst Commun 1(7):24–28Google Scholar
  2. 2.
    Wang R, Jie C (2011) Enhancing training set for face detection based on SVM. J Softw 2(5):74–78Google Scholar
  3. 3.
    Wang XD, Shi Z, Wu C (2011) An improved algorithm for dectsion-tree-based SVM. In: Proceeding of the 6th world congress on intelligent control and automation, vol 3(4), pp 4235–4239Google Scholar
  4. 4.
    Li G, Cheng C, Lin J (2007) Short-term load forecasting using support vector machine with SCE-UA algorithm. In: Third international conference on natural computation (ICNC), vol 4(5), pp 112–115Google Scholar
  5. 5.
    Bernhard School Kopf, Sung K-K et al (2009) Comparing support vector machines with Gaussian kernels to radical basis function classifiers. IEEE Trans Signal Process 5(11):2758–2765Google Scholar
  6. 6.
    Li X, Liu J, Shi Z (2009) A Chinese web page classifier based on support vector machine and unsupervised clustering. Chin J Comput 6(3):1174–1178Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Guangxi Vocational and Technical Institute of IndustryNanningChina
  2. 2.Guilin University of Aerospace TechnologyGuilinChina

Personalised recommendations