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CIA
2008
Springer
10 years 11 days 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...
ICC
2007
IEEE
203views Communications» more  ICC 2007»
10 years 4 months ago
A Multi-Scale Tomographic Algorithm for Detecting and Classifying Traffic Anomalies
—The occurrence of a traffic anomaly is always responsible for a degradation of performance. The anomaly can be observable, at some scale, in different ways: an increase in the n...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
INFOCOM
2006
IEEE
10 years 4 months ago
Contribution of Anomalies Detection and Analysis on Traffic Engineering
—In this paper we present a methodology for detecting traffic anomalies. To accomplish that, and as a demarcation from similar works, we combine multi-scale and multi-criteria an...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
ISNN
2005
Springer
10 years 3 months ago
Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier
As a crucial issue in computer network security, anomaly detection is receiving more and more attention from both application and theoretical point of view. In this paper, a novel ...
Hanghang Tong, Chongrong Li, Jingrui He, Jiajian C...
CONEXT
2010
ACM
9 years 8 months ago
MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult due to the lack of ground truth. The goal of the present article is to assist rese...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...
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