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» Combined Data Mining Approach for Intrusion Detection
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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 9 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
ICMCS
2007
IEEE
190views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Video Event Detection with Combined Distance-Based and Rule-Based Data Mining Techniques
In this paper, the rare event detection issue in video event detection is addressed through the proposed data mining framework which can be generalized to be domain independent. T...
Zongxing Xie, Mei-Ling Shyu, Shu-Ching Chen
ICC
2009
IEEE
123views Communications» more  ICC 2009»
14 years 3 months ago
Combining Hidden Markov Models for Improved Anomaly Detection
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
Wael Khreich, Eric Granger, Robert Sabourin, Ali M...
SAC
2004
ACM
14 years 2 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi