A New Method of Transductive SVM-Based Network Intrusion Detection - Computer and Computing Technologies in Agriculture IV - Part I
Conference Papers Year : 2011

A New Method of Transductive SVM-Based Network Intrusion Detection

Manfu Yan
  • Function : Author
  • PersonId : 1012371
Zhifang Liu
  • Function : Author
  • PersonId : 1012409

Abstract

Based on the existing Transductive SVM and via introducing smooth function P($\triangle$,λ) to construct smooth cored unconstrained optimization problem, this article will build the optimization model accessible to degenerate solutions to generate an improved transductive SVM, introduce simulated annealing to degenerate the optimization problem, and apply such a Support Vector Classifier to generate a new method of network intrusion detection.
Fichier principal
Vignette du fichier
978-3-642-18333-1_12_Chapter.pdf (302.05 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01559593 , version 1 (10-07-2017)

Licence

Identifiers

Cite

Manfu Yan, Zhifang Liu. A New Method of Transductive SVM-Based Network Intrusion Detection. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.87-95, ⟨10.1007/978-3-642-18333-1_12⟩. ⟨hal-01559593⟩
61 View
117 Download

Altmetric

Share

More