The research of experimental state feedback mechanism based on windows API-take cloud security experimental platform for instance

Yun Ting Ching, Yi Ming Chen

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

1 Scopus citations

Abstract

With the rapid development of Internet, many personalized services also rise and bring many business opportunities. In addition to leveraging personalized service recommendation in e-commerce, the demand of personalized services also appear in personalized e-learning applications. Though there are many academic literatures and mechanisms about how do we access and identify user's action behaviors, still this information is not enough to give the details of user's operating behavior to be used to provide personalized services. To overcome this shortcoming, in this paper, we present a method to capture the users operating behaviors in Windows environments. We name it the Experimental Status Feedback Mechanism (ESFM). We apply the ECSM in the Cloud Security Experimental Platform (CSEP) which is an e-learning platform for exercising network security attacks and defenses and supports interactive teaching. As ESFM could capture user's action when they do either mouse or keyboard operations on the virtual machine, it will send the captured information to the CSEP server which in turn will presents appropriate steps for users to continue the security exercise. Our experiments showed that the overhead of ESFM is acceptable in the CSEP interactive learning environment and better than the traditional user state capture mechanisms, like Sikuli.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
EditorsWilliam Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
PublisherIOS Press
Pages651-661
Number of pages11
ISBN (Electronic)9781614994831
DOIs
StatePublished - 2015
EventInternational Computer Symposium, ICS 2014 - Taichung, Taiwan
Duration: 12 Dec 201414 Dec 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume274
ISSN (Print)0922-6389

Conference

ConferenceInternational Computer Symposium, ICS 2014
Country/TerritoryTaiwan
CityTaichung
Period12/12/1414/12/14

Keywords

  • Cloud Security Experimental Platform
  • State Feedback
  • Windows API Hooking

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