Paper Title:
Prediction of Networks Security Situation Based on Wavelet Kernel Function Network
  Abstract

Based on the foundation of prediction of networks security situation models, this article proposed a method about applying wavelet kernel function network to prediction of networks security situation. Wavelet kernel function network combined with the neural network and the support vector machines merits, which avoid support vector machine (SVM) solving binding second convex programming problem, network scale doesn't happen dimension disasters problem because kernel function is introduced, and its solution is the global optimal solution, so the situation prediction is more accurate. The experiment tests indicated that this method can accurately acquire the situation value prediction results, it has the good situation prediction potency, which provided one new key for prediction of networks security situation.

  Info
Periodical
Chapter
Chapter 1: Numbers, Intelligence
Edited by
Quanjie Gao
Pages
53-58
DOI
10.4028/www.scientific.net/AMM.127.53
Citation
J. Q. Xiao, "Prediction of Networks Security Situation Based on Wavelet Kernel Function Network", Applied Mechanics and Materials, Vol. 127, pp. 53-58, 2012
Online since
October 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Dai Yuan Zhang, Hao Zhang
Chapter 5: Numerical Methods, Computation Methods and Algorithms for Modeling, Simulation and Optimization, Data Mining and Data Processing
Abstract:In wireless sensor network, it is necessary to make effective prediction of sensor node’s data during its sleep period. In this paper a model...
1918