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

抜粋

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.

元の言語英語
ページ(範囲)87-98
ページ数12
ジャーナルLecture Notes in Computer Science
3325
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

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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