Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic pattern

The defects of intrusion detection using fixed-length short system call sequences were analyzed. A method of extracting variable-length short system call sequences, grounded on the function return addresses stored in the process stacks, was proposed. Based on the hierarchical relationship and the st...

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Main Authors: DUAN Xue-tao1, JIA Chun-fu 1, LIU Chun-bo1
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2010-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74649136/
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author DUAN Xue-tao1
JIA Chun-fu 1
LIU Chun-bo1
author_facet DUAN Xue-tao1
JIA Chun-fu 1
LIU Chun-bo1
author_sort DUAN Xue-tao1
collection DOAJ
description The defects of intrusion detection using fixed-length short system call sequences were analyzed. A method of extracting variable-length short system call sequences, grounded on the function return addresses stored in the process stacks, was proposed. Based on the hierarchical relationship and the state transition characteristics of the variable-length semantic patterns, a hierarchical hidden Markov intrusion detection model was presented. The experimental results show that the hierarchical hidden Markov intrusion detection model is superior to the traditional hidden Markov model.
format Article
id doaj-art-533e54d75eae4fcf902afdb847a64d07
institution Kabale University
issn 1000-436X
language zho
publishDate 2010-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-533e54d75eae4fcf902afdb847a64d072025-01-14T08:26:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2010-01-013110911474649136Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic patternDUAN Xue-tao1JIA Chun-fu 1LIU Chun-bo1The defects of intrusion detection using fixed-length short system call sequences were analyzed. A method of extracting variable-length short system call sequences, grounded on the function return addresses stored in the process stacks, was proposed. Based on the hierarchical relationship and the state transition characteristics of the variable-length semantic patterns, a hierarchical hidden Markov intrusion detection model was presented. The experimental results show that the hierarchical hidden Markov intrusion detection model is superior to the traditional hidden Markov model.http://www.joconline.com.cn/zh/article/74649136/intrusion detectionhierarchical hidden Markov modelsystem callvariable-length semantic patternprocess stack
spellingShingle DUAN Xue-tao1
JIA Chun-fu 1
LIU Chun-bo1
Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic pattern
Tongxin xuebao
intrusion detection
hierarchical hidden Markov model
system call
variable-length semantic pattern
process stack
title Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic pattern
title_full Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic pattern
title_fullStr Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic pattern
title_full_unstemmed Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic pattern
title_short Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic pattern
title_sort intrusion detection method based on hierarchical hidden markov model and variable length semantic pattern
topic intrusion detection
hierarchical hidden Markov model
system call
variable-length semantic pattern
process stack
url http://www.joconline.com.cn/zh/article/74649136/
work_keys_str_mv AT duanxuetao1 intrusiondetectionmethodbasedonhierarchicalhiddenmarkovmodelandvariablelengthsemanticpattern
AT jiachunfu1 intrusiondetectionmethodbasedonhierarchicalhiddenmarkovmodelandvariablelengthsemanticpattern
AT liuchunbo1 intrusiondetectionmethodbasedonhierarchicalhiddenmarkovmodelandvariablelengthsemanticpattern