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Abstract: Network-Intrusion Detection deals with identification and containment of network-based attacks. Such systems could be classified based on the medium they listen on (end-hosts or network segments), the timing of information analysis (batch-process the collected data vs. real-time processing) and the type of analysis (knowledge or signature based vs. anomaly based). This project involves the design and construction of an experimental network-based intrusion detection system Argus, that performs a ... (Update)
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BibTeX entry: (Update)
@misc{ singh01argus,
author = "Sankalp Singh and Srikanth Kandula",
title = "Argus --- {A} distributed network-intrusion detection system",
howpublished = "Undergraduate Thesis, Indian Institute of Technology",
address = "Kanpur, India",
month = may,
year = "2001",
url = "citeseer.ist.psu.edu/singh01argus.html",
url = "http://citeseer.nj.nec.com/singh01argus.html" }
Citations (may not include all citations):87 ective rule induction (context) - Cohen - 1995
84 Data Mining Approaches for Intrusion Detection - Lee, Stolfo - 1998
70 A data mining framework for building intrusion detection mod.. - Lee, Stolfo
28 Intelligent Agents for Intrusion Detection - Helmer, Wong et al. - 1998
15 Network Flight Recorder (context) - Recorder, Inc et al. - 2001
6 Automated Intrusion Detection using NFR: Methods and Experie.. (context) - Lee, Park et al. - 1999
2 Intrusion Detection Exchange Format Data Model (context) - Debar, Huang et al. - 2000
1 Intrusion Detection Working Group (context) - Gupta, Intrusion et al. - 2001
1 FOIL: Amidterm report (context) - Quinlan, Cameron-Jones - 1993
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