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» Network anomaly detection based on TCM-KNN algorithm
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SAC
2004
ACM
14 years 1 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
ISICA
2009
Springer
14 years 2 months ago
Detecting Network Anomalies Using CUSUM and EM Clustering
Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types and ...
Wei Lu, Hengjian Tong
JIFS
2007
82views more  JIFS 2007»
13 years 7 months ago
Anomaly detection in mobile communication networks using the self-organizing map
Anomaly detection is a pattern recognition task whose goal is to report the occurrence of abnormal or unknown behavior in a given system being monitored. In this paper we propose a...
Rewbenio A. Frota, Guilherme De A. Barreto, Jo&ati...
ACSC
2005
IEEE
14 years 1 months ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
TMA
2010
Springer
140views Management» more  TMA 2010»
13 years 5 months ago
Uncovering Relations between Traffic Classifiers and Anomaly Detectors via Graph Theory
Abstract. Network traffic classification and anomaly detection have received much attention in the last few years. However, due to the the lack of common ground truth, proposed met...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...