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Specification-based Anomaly Detection: A New Approach for Detecting Network Intrusions (2002)  (Make Corrections)  (10 citations)
R. Sekar, A. Gupta, J. Frullo, T. Shanbhag, A. Tiwari, H. Yang, S. Zhou
Proceedings of the 9th ACM conference on Computer and communications security



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Abstract: Unlike signature or misuse based intrusion detection techniques, anomaly detection is capable of detecting novel attacks. However, the use of anomaly detection in practice is hampered by a high rate of false alarms. Specification-based techniques have been shown to produce a low rate of false alarms, but are not as effective as anomaly detection in detecting novel attacks, especially when it comes to network probing and denial-of-service attacks. This paper presents a new approach that combines ... (Update)

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BibTeX entry:   (Update)

R. Sekar, A. Gupta, J. Frullo, T. Shanbhag, S. Zhou, A. Tiwari and H. Yang, "Specification Based Anomaly Detection: A New Approach for Detecting Network Intrusions", ACM CCS, 2002. http://citeseer.ist.psu.edu/sekar02specificationbased.html   More

@inproceedings{ 586146,
 author = {R. Sekar and A. Gupta and J. Frullo and T. Shanbhag and A. Tiwari and H. Yang and S. Zhou},
 title = {Specification-based anomaly detection: a new approach for detecting network intrusions},
 booktitle = {Proceedings of the 9th ACM conference on Computer and communications security},
 year = {2002},
 isbn = {1-58113-612-9},
 pages = {265--274},
 location = {Washington, DC, USA},
 doi = {http://doi.acm.org/10.1145/586110.586146},
 publisher = {ACM Press},
 url = {citeseer.ist.psu.edu/sekar02specificationbased.html} }
Citations (may not include all citations):
299   The BSD Packet Filter: A New Architecture for User-level Pac.. - McCanne, Jacobson - 1992
140   Snort: Lightweight intrusion detection for networks (context) - Roesch - 1999
123   Bro: A System for Detecting Network Intruders in Real-Time - Paxson - 1998
121   An Intrusion Detection Model (context) - Denning - 1987
121   Network Intrusion Detection (context) - Mukherjee, Heberlein et al. - 1994
84   Data Mining Approaches for Intrusion Detection - Lee, Stolfo - 1998
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63   Next-generation Intrusion Detection Expert System - Anderson, Lunt et al. - 1995
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34   NetSTAT: A Network-based Intrusion Detection Approach - Vigna, Kemmerer - 1998
34   Synthesizing Fast Intrusion PreventionDetection System from .. - Uppuluri, Intrusion et al. - 1999
28   Penetration State Transition Analysis:A Rule based Intrusion.. (context) - Porras, Kemmerer - 1992
19   A High-Performance Network Intrusion Detection System - Sekar, Guang et al. - 1999
16   A Pattern-Matching Model for Intrusion Detection (context) - Kumar, Spafford - 1994
15   Evaluating Intrusion Detection Systems (context) - Lippmann, Fried et al. - 1998
7   Building Survivable Systems: An Integrated Approach Based on.. - Bowen, Chee et al. - 2000
6   EMERALD: Event Monitoring Enabled Responses to Anomalous Liv.. (context) - Porras, Neumann - 1997
5   Symposium on Research Security and Privacy (context) - Heberlein, Security - 1990
3   Learning Program Behavior Profilesfor Intrusion Detection (context) - Ghosh, Schwartzbard et al. - 1999
3   NATE --- Network Analysis of Anomalous TrafficEvents (context) - Taylor, Alves-Foss - 2001
1   Boswell and M (context) - Haines, Lippmann et al. - 1999
1   Networks and Distributed Systems Security Symposium (context) - Porras, Valdes et al. - 1998



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