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» Eigenspace-based anomaly detection in computer systems
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SAC
2004
ACM
14 years 27 days 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
CCGRID
2006
IEEE
14 years 1 months ago
INTCTD: A Peer-to-Peer Approach for Intrusion Detection
In this paper we propose a peer-to-peer (P2P) prototype (INTCTD) for intrusion detection over an overlay network. INTCTD is a distributed system based on neural networks for detec...
Catalin Dumitrescu
ICDM
2008
IEEE
123views Data Mining» more  ICDM 2008»
14 years 1 months ago
Discovering Flow Anomalies: A SWEET Approach
Given a percentage-threshold and readings from a pair of consecutive upstream and downstream sensors, flow anomaly discovery identifies dominant time intervals where the fractio...
James M. Kang, Shashi Shekhar, Christine Wennen, P...
RAID
2009
Springer
14 years 2 months ago
Automatically Adapting a Trained Anomaly Detector to Software Patches
Abstract. In order to detect a compromise of a running process based on it deviating from its program’s normal system-call behavior, an anomaly detector must first be trained wi...
Peng Li, Debin Gao, Michael K. Reiter
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
13 years 11 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok