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» Anomaly Detection in P2P Networks Using Markov Modelling
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INFOCOM
2007
IEEE
14 years 2 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina
RAID
2004
Springer
14 years 2 months ago
Anomaly Detection Using Layered Networks Based on Eigen Co-occurrence Matrix
Anomaly detection is a promising approach to detecting intruders masquerading as valid users (called masqueraders). It creates a user profile and labels any behavior that deviates...
Mizuki Oka, Yoshihiro Oyama, Hirotake Abe, Kazuhik...
PR
2011
12 years 11 months ago
Detecting and discriminating behavioural anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempo...
Chen Change Loy, Tao Xiang, Shaogang Gong
IJNSEC
2008
95views more  IJNSEC 2008»
13 years 8 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....
CIA
2008
Springer
13 years 10 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...