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A Data Mining Framework for Building Intrusion Detection Models (1999)  (Make Corrections)  (70 citations)
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
IEEE Symposium on Security and Privacy



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Abstract: There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are constructed by manual encoding of expert security knowledge, changes to IDSs are expensive and slow. In this paper, we describe a data mining framework for adaptively building Intrusion Detection (ID) models. The central idea is to utilize auditing programs to extract an extensive set of features that describe each network... (Update)

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BibTeX entry:   (Update)

W. Lee, S. J. Stolfo, and K. W. Mok. A data mining framework for building intrusion detection models. In Proceedings of the 1999 IEEE Symposium on Security and Privacy, May 1999. http://citeseer.ist.psu.edu/article/lee99data.html   More

@inproceedings{ lee99data,
    author = "Wenke Lee and Salvatore J. Stolfo and Kui W. Mok",
    title = "A Data Mining Framework for Building Intrusion Detection Models",
    booktitle = "{IEEE} Symposium on Security and Privacy",
    pages = "120--132",
    year = "1999",
    url = "citeseer.ist.psu.edu/article/lee99data.html" }
Citations (may not include all citations):
921   Mining association rules between sets of items in large data.. - Agrawal, Imielinski et al. - 1993  ACM   DBLP
248   Fast effective rule induction - Cohen - 1995
189   Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995  DBLP
132   Emerald: Event monitoring enabling responses to anomalous li.. - Porras, Neumann - 1997
121   Network intrusion detection (context) - Mukherjee, Heberlein et al. - 1994  ACM
106   The KDD process of extracting useful knowledge from volumes .. - Fayyad, Piatetsky-Shapiro et al. - 1996
105   State transition analysis: A rule-based intrusion detection .. - Ilgun, Kemmerer et al. - 1995
85   Discovering generalized episodes using minimal occurrences - Mannila, Toivonen - 1996
84   Data mining approaches for intrusion detection - Lee, Stolfo - 1998
65   Bro: A system for detecting network intruders in real-time - Paxon - 1998
59   Toward parallel and distributed learning by meta-learning - Chan, Stolfo - 1993
58   available via anonymous ftp to ftp (context) - Jacobson, Leres et al. - 1989
56   A real-time intrusion detection expert system (context) - Lunt, Tamaru et al. - 1992
52   Automated detection of vulnerabilities in privileged program.. - Ko, Fink et al. - 1994
35   Mining audit data to build intrusion detection models - Lee, Stolfo et al. - 1998  DBLP
32   A software architecture to support misuse intrusion detectio.. - Kumar, Spafford - 1995
25   Sequence matching and learning in anomaly detection for comp.. - Lane, Brodley - 1997
23   Detecting intruders in computer systems - Lunt - 1993
15   Network flight recorder (context) - Flight - 1997
8   Common intrusion detection framework (context) - Stainford-Chen
6   SunSHIELD Basic Security Module Guide (context) - Mountain, CA
1   Mining sequential patterns: Techniques (context) - Lee, Mok et al. - 1998



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