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Abstract: An intrusion detection system utilizes various statistical information scattered around within the system. It can abstract information from the normal behaviors of a system and detect attacks regardless of whether or not the system has observed them before. In this paper, we propose an effective IDS that improves the modeling time and performance with only considering the events of privilege flows based on the domain knowledge of attacks. Proposed privilege change model is evaluated with... (Update)
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BibTeX entry: (Update)
@misc{ park-privilege,
author = "Hyuk-Jang Park and Sung-Bae Cho",
title = "Privilege Flows Modeling for Effective Intrusion Detection based on HMM",
url = "citeseer.ist.psu.edu/park02privilege.html" }
Citations (may not include all citations):362 An introduction to hidden Markov models (context) - Juang - 1986
19 An application of machine learning to anomaly detection - Brodly - 1997
17 SunSHIELD Basic Security Module Guide (context) - Microsystems, Garcia et al. - 1995
5 Generation of application level audit data via library inter.. - Eugene, Spafiord - 1998
1 An intrusion detection system with temporal event modeling b.. (context) - Choy, Cho - 1999
1 Detecting intrusion using calls: Alternative data models (context) - Forrest, Pearlmutter - 1999
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