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» A Compound Intrusion Detection Model
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ICWSM
2009
13 years 5 months ago
Detecting Topic Drift with Compound Topic Models
Dan Knights, Michael C. Mozer, Nicolas Nicolov
PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
ICCSA
2005
Springer
14 years 1 months ago
M of N Features vs. Intrusion Detection
In order to complement the incomplete training audit trails, model generalization is always utilized to infer more unknown knowledge for intrusion detection. Thus, it is important ...
Zhuowei Li, Amitabha Das
RE
2002
Springer
13 years 7 months ago
A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System
Requirements analysis for an Intrusion Detection System (IDS) involves deriving requirements for the IDS from analysis of the intrusion domain. When the IDS is, as here, a collecti...
Guy G. Helmer, Johnny S. Wong, Mark Slagell, Vasan...
JCS
2002
103views more  JCS 2002»
13 years 7 months ago
Toward Cost-Sensitive Modeling for Intrusion Detection and Response
Intrusion detection systems (IDSs) must maximize the realization of security goals while minimizing costs. In this paper, we study the problem of building cost-sensitive intrusion...
Wenke Lee, Wei Fan, Matthew Miller, Salvatore J. S...