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Combining Knowledge Discovery and Knowledge Engineering to Build IDSs (1999)  (Make Corrections)  (1 citation)
Wenke Lee, Salvatore J. Stolfo
Recent Advances in Intrusion Detection



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Abstract: We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. The 1998 DARPA Intrusion Detection Evaluation showed that the models produced by MADAM ID performed comparably well with the best purely knowledge-engineered systems. Although our data mining techniques have shown great potentials, it is important recognize the critical roles that domain knowledge, and thus knowledge... (Update)

Cited by:   More
Intrusion Detection: A Bibliography - Mé, Michel (2001)   (Correct)

Active bibliography (related documents):   More   All
0.2:   A Data Mining Framework for Constructing Features and Models for.. - Lee (1999)   (Correct)
0.2:   A Framework for Constructing Features and Models for Intrusion.. - Lee, Stolfo (2000)   (Correct)
0.1:   A Data Mining Framework for Building Intrusion Detection Models - Lee, Stolfo, Mok (1999)   (Correct)

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0.3:   A Data Mining and CIDF Based Approach for.. - Lee, Nimbalkar.. (2000)   (Correct)
0.3:   Mining in a Data-flow Environment: Experience in Network.. - Lee, Stolfo, Mok (1999)   (Correct)
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BibTeX entry:   (Update)

Lee, W. and Stolfo, S. J. (1999). Combining Knowledge Discovery and Knowledge Engineering to Build IDSs. Web proceedings of the 2nd International Workshop on Recent Advances in Intrusion Detection (RAID'99), http://www.raid-symposium.org/raid99. http://citeseer.ist.psu.edu/lee99combining.html   More

@inproceedings{ lee99combining,
    author = "Wenke Lee and Salvatore J. Stolfo",
    title = "Combining Knowledge Discovery and Knowledge Engineering to Build {IDSs}",
    booktitle = "Recent Advances in Intrusion Detection",
    year = "1999",
    url = "citeseer.ist.psu.edu/lee99combining.html" }
Citations (may not include all citations):
921   Mining association rules between sets of items in large data.. - Agrawal, Imielinski et al. - 1993
189   Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995
132   EMERALD: Event monitoring enabling responses to anomalous li.. - Porras, Neumann - 1997
123   Bro: A system for detecting network intruders in real-time - Paxson - 1998
70   A data mining framework for building intrusion detection mod.. - Lee, Stolfo et al. - 1999
59   Toward parallel and distributed learning by meta-learning - Chan, Stolfo - 1993
59   USTAT: A real-time intrusion detection system for Unix - Ilgun - 1992
58   available via anonymous ftp to ftp (context) - Jacobson, Leres et al. - 1989
35   Mining audit data to build intrusion detection models - Lee, Stolfo et al. - 1998
32   A software architecture to support misuse intrusion detectio.. - Kumar, Spafford - 1995
19   Mining in a data-flow environment: Experience in network int.. - Lee, Stolfo et al. - 1999
15   Network flight recorder (context) - Recorder - 1997

Documents on the same site (http://www.raid-symposium.org/raid99/):
Building an Intrusion-Detection System to Detect Suspicious.. - Wespi, Debar (1999)   (Correct)
Session State Transition Based Large Network IDS - Qianli, Xing (1999)   (Correct)

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