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» Anomaly Detection Using an Ensemble of Feature Models
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IJNSEC
2008
95views more  IJNSEC 2008»
13 years 7 months ago
Generalized Anomaly Detection Model for Windows-based Malicious Program Behavior
In this paper we demonstrate that it is possible in general to detect Windows-based malicious program behavior. Since S. Forrest et al. used the N-grams method to classify system ...
Xin Tang, Constantine N. Manikopoulos, Sotirios G....
IWIA
2003
IEEE
14 years 27 days ago
Stochastic Protocol Modeling for Anomaly Based Network Intrusion Detection
1 A new method for detecting anomalies in the usage of protocols in computer networks is presented in this work. The proposed methodology is applied to TCP and disposed in two step...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
ICC
2009
IEEE
123views Communications» more  ICC 2009»
14 years 2 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...
ICONIP
2008
13 years 9 months ago
Detecting Methods of Virus Email Based on Mail Header and Encoding Anomaly
In this paper, we try to develop a machine learning-based virus email detection method. The key feature of this paper is employing Mail Header and Encoding Anomaly(MHEA) [1]. MHEA ...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
SCN
2008
Springer
136views Communications» more  SCN 2008»
13 years 7 months ago
An efficient data structure for network anomaly detection
Abstract-- Despite the rapid advance in networking technologies, detection of network anomalies at high-speed switches/routers is still far from maturity. To push the frontier, two...
Jieyan Fan, Dapeng Wu, Kejie Lu, Antonio Nucci