A probabilistic method for detecting anomalous program behavior

Kohei Tatara, Toshihiro Tabata, Kouichi Sakurai

研究成果: ジャーナルへの寄稿Conference article


In this paper, we, as well as Eskin, Lee, Stolfo propose a method of prediction model. In their method, the program was characterized with both the order and the kind of system calls. We focus on a non-sequential feature of system calls given from a program. We apply a Bayesian network to predicting the N-th system call from the sequence of system calls of the length N - 1. In addition, we show that a correlation between several kinds of system calls can be expressed by using our method, and can characterize a program behavior.

ジャーナルLecture Notes in Computer Science
出版物ステータス出版済み - 9 1 2005
イベント5th International Workshop on Information Security Applications, WISA 2004 - Jeju Island, 大韓民国
継続期間: 8 23 20048 25 2004


All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)