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Abstract: An Intrusion Detection System (IDS) seeks to identify unauthorized access to computer systems' resources and data. The most common analysis tool that these modern systems apply is the operating system audit trail that provides a fingerprint of system events over time. In this research, the Basic Security Module auditing tool of Sun's Solaris operating environment was used in both an anomoly and misuse detection approach. The anomoly detector consisted of the statistical likelihood analysis of... (Update)
Context of citations to this paper: More
...is a high degree of accuracy, and their main drawback is the inability to identify novel attacks. Anomaly detection techniques [1, 5, 20, 24, 4, 8] address this problem by flagging any abnormalities in user or system behavior as a potential attack. One of the main research...
...identify anomalous activity [5] Many early systems [6, 7, 8, 9] employed this method. In addition, a number of on going projects [10, 11, 12, 13], continue to employ statistical methods for anomaly detection, typically in combination with other methods. More recent anomaly...
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BibTeX entry: (Update)
D. Endler. Intrusion detection: Applying machine learning to solaris audit data. In Proceedings of the 1998 Annual Computer Security Applications Conference (ACSAC'98), pages 268--279, Los Alamitos, CA, December 1998. IEEE Computer Society, IEEE Computer Society Press. Scottsdale, AZ. http://citeseer.ist.psu.edu/endler98intrusion.html More
@inproceedings{ endler98intrusion,
author = "David Endler",
title = "Intrusion Detection Applying Machine Learning to Solaris Audit Data",
booktitle = "Proc. of the 1998 Annual Computer Security Applications Conference ({ACSAC}'98)",
address = "Scottsdale, AZ",
publisher = "IEEE Computer Society Press",
pages = "268--279",
year = "1998",
url = "citeseer.ist.psu.edu/endler98intrusion.html",
url = "http://citeseer.nj.nec.com/endler98intrusion.html" }
Citations (may not include all citations):2133 Pattern Classification and Scene Analysis (context) - Duda, Hart - 1973
142 A sense of self for unix processes - Forrest, Hofmeyr et al. - 1996
84 Data Mining Approaches for Intrusion Detection - Lee, Stolfo - 1998
63 Next-generation Intrusion Detection Ex- pert System (NIDES),.. - Anderson, Frivold et al. - 1995
48 Classification and Detection of Computer Intrusions - Kumar - 1995
41 Expert Systems in intrusion detection: A case study (context) - Sebring, Shellhouse et al. - 1988
41 The SRI IDES Statistical Anomaly Detector (context) - Javitz, Valdes - 1991
37 An Application of Pattern Matching in Intrusion Detection - Kumar, Spafford - 1994
25 Artificial Intelligence and Intrusion Detection: Current and.. - Frank - 1994
25 A Neural Network Approach Towards Intrusion Detection (context) - Fox, Henning et al. - 1990
19 An Application of Machine Learning to Anomaly Detection - Lane, Brodley - 1997
18 An Expert System Application for Network Intrusion Detection (context) - Jackson, DuBoid et al. - 1991
17 SunShield Basic Security Module Guide (context) - Microsystems
16 Learning to predict sequences (context) - Dietterich, Michalski - 1986
13 Stalking the Wily Hacker (context) - Stoll - 1988
7 A Unified View of Statistical and Neural Approaches (context) - Schurmann - 1996
6 Bootstrapping Training-Data Representations for Inductive Le.. - Hirsh, Japkowicz
6 Real Time Anomaly Detection Using a Nonparametric Pattern Re.. (context) - Lankewicz, Benard - 1990
1 Haystack's Analysis: A brief Description (context) - Heberlien - 1991
1 MIT Lincoln Laboratory (context) - Lippmann, Kukolich et al. - 1993
1 A Non-Parametric Pattern Recognition Approach to Anomaly Det.. (context) - Lankewicz - 1992
1 Shall We Dust Moscow (context) - Farmer - 1996
The graph only includes citing articles where the year of publication is known.
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