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» Traffic Classification Based on Flow Similarity
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TJS
2010
182views more  TJS 2010»
13 years 3 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
TMA
2010
Springer
140views Management» more  TMA 2010»
13 years 3 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...
ICPR
2008
IEEE
13 years 11 months ago
Detecting shadows of moving vehicles based on HMM
Vehicle detection and classification are invaluable in many transportation systems, such as traffic flow analysis, abnormal events detection, automotive driver assistant systems a...
Yuxuan Wang, Heng-Da Cheng, Juan Shan
CIA
2008
Springer
13 years 7 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...
MVA
2011
336views Computer Vision» more  MVA 2011»
13 years 9 days ago
In-vehicle camera traffic sign detection and recognition
: In this paper we discuss theoretical foundations and a practical realization of a real-time traffic sign detection, tracking and recognition system operating on board of a vehicl...
Andrzej Ruta, Fatih Porikli, Shintaro Watanabe, Yo...