Research on double platform conversion system based on multi2level fuzzy comprehensive evaluation

Cheng Po Mu*, Qi Ju Tan, Shuai Bing

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A Web intrusion protection mechanism based on platform conversion is presented in the paper. According to Web service, intrusion attack has the relevance of target platforms and web application service programs. Aiming at Windows platform, lIS attack will not be successful when the target is Apache to Linux platform, and vice versa. The presented Intrusion response mechanism uses two servers to load different operating systems and Web service programs, but both can provide Web service of the same content to networks. When an intrusion is detected, mechanism calculates relevance score between attack and target at first. Then according to this relevance score to make the intrusion response decision making and to determine whether to make platform conversion, accordingly choose a secure service host to provide services outside. This intrusion response mechanism balances the contradiction relation between the response positive effect and the response negative impact. It can not only effectively prevent the attacks, but also reduce the risks of false responses.

Original languageEnglish
Title of host publicationICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings
PagesV1379-V1383
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Computer Application and System Modeling, ICCASM 2010 - Shanxi, Taiyuan, China
Duration: 22 Oct 201024 Oct 2010

Publication series

NameICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings
Volume1

Conference

Conference2010 International Conference on Computer Application and System Modeling, ICCASM 2010
Country/TerritoryChina
CityShanxi, Taiyuan
Period22/10/1024/10/10

Keywords

  • E negative impact
  • False response
  • Intrusion respons
  • Platform conversion
  • Relevance score

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