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Abstract: Analysis vs. analysis The volume of data available to the analyst for the forensic analysis of an intrusion or other form of successful attack is enormous. Clearly, analyzing the textual data would be prohibitive as a networked environment will generate tens of thousands of log messages a day. In complex cases, where events must be correlated both temporally and spatially, the task is daunting. Many techniques are applicable to aid the analyst, including: data mining, machine learning, and... (Update)
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BibTeX entry: (Update)
@misc{ erbacher-improving,
author = "Robert F. Erbacher and Karl Sobylak",
title = "Improving Intrusion Analysis Effectiveness",
url = "citeseer.ist.psu.edu/541101.html" }
Citations (may not include all citations):176 Exploratory Data Analysis (context) - Tukey - 1977
59 Measuring the Web (context) - Bray - 1999
21 Intrusion and Misuse Detection in Large-Scale Systems (context) - Erbacher, Walker et al. - 2002
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6 Hacking Exposed: Network Security Secrets and Solutions (context) - Scambray, McClure et al. - 2000
5 Constructing Interactive Visual Network Interfaces (context) - He, Eick - 1998
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4 Navigating Large Networks with Heirarchies (context) - Eick, Wills - 1993
3 Graphical methods to analyze network data (context) - Becker, Eick et al. - 1993
2 Visual Behavior Characterization for Intrusion Detection in .. - Erbacher - 2001
1 A Component-Based Event-Driven Interactive Visualization Sof.. - Erbacher - 2002
1 Intrusion Detection Data: Collection and Analysis (context) - Erbacher, Augustine - 2002
1 Visualization alternatives: non-pixel based images (context) - Grinstein, Levkowitz et al. - 1993
1 Strategies for scientific visualization: analysis and compar.. (context) - Berton - 1990
1 Proceedings of Visual Data Exploration and Analysis VII (context) - Roberts, Multiform - 2000
Documents on the same site (http://www.cs.albany.edu/~erbacher/publications/): More
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