Design of software security detection system based on system call sequences

Jingfeng Xue*, Changzhen Hu, Kunsheng Wang, Rui Ma, Zhian Fan

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

The sequences of system calls can indicate the running behavior feature of application software, so it can be used in software security detection. In this paper, by researching and analyzing system call sequences in the process of software execution, a software security detection system based on system call sequences is designed. Basic system call sequences are mined by association rules, and then they are transformed to equivalent call sequence set to build knowledge base for software security detection. The experiment shows detection capability of the detection system is better by sufficient training data.

Original languageEnglish
Title of host publication2nd International Conference on Software Engineering and Data Mining, SEDM 2010
Pages97-100
Number of pages4
Publication statusPublished - 2010
Event2nd International Conference on Software Engineering and Data Mining, SEDM 2010 - Chengdu, China
Duration: 23 Jun 201025 Jun 2010

Publication series

Name2nd International Conference on Software Engineering and Data Mining, SEDM 2010

Conference

Conference2nd International Conference on Software Engineering and Data Mining, SEDM 2010
Country/TerritoryChina
CityChengdu
Period23/06/1025/06/10

Keywords

  • Association rules
  • Detection system
  • Software security
  • System calls

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