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» Combined Data Mining Approach for Intrusion Detection
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KDD
2004
ACM
157views Data Mining» more  KDD 2004»
14 years 2 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
SP
2002
IEEE
170views Security Privacy» more  SP 2002»
13 years 8 months ago
Alert Correlation in a Cooperative Intrusion Detection Framework
This paper presents the work we have done within the MIRADOR project to design CRIM, a cooperative module for intrusion detection systems (IDS). This module implements functions t...
Frédéric Cuppens, Alexandre Mi&egrav...
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 5 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
GLOBECOM
2009
IEEE
14 years 13 days ago
An Analytical Model of Routing, Misbehavior, and Countermeasures in Mobile Ad Hoc Networks
Abstract--We present an analytical model combining geometric and stochastic approaches to describe the effects of attacks and countermeasures on MANETs. In particular, we focus on ...
André König, Daniel Seither, Ralf Stei...
SIGMETRICS
2008
ACM
111views Hardware» more  SIGMETRICS 2008»
13 years 8 months ago
Predicting the resource consumption of network intrusion detection systems
Abstract. When installing network intrusion detection systems (NIDSs), operators are faced with a large number of parameters and analysis options for tuning trade-offs between dete...
Holger Dreger, Anja Feldmann, Vern Paxson, Robin S...