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» An Effective Anomaly Detection Method in SMTP Traffic
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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
NETWORKING
2004
13 years 6 months ago
On Detection of Anomalous Routing Dynamics in BGP
BGP, the de facto inter-domain routing protocol, is the core component of current Internet infrastructure. BGP traffic deserves thorough exploration, since abnormal BGP routing dy...
Ke Zhang, Amy Yen, Xiaoliang Zhao, Daniel Massey, ...
ADBIS
2006
Springer
200views Database» more  ADBIS 2006»
13 years 11 months ago
Anomaly Detection Using Unsupervised Profiling Method in Time Series Data
The anomaly detection problem has important applications in the field of fraud detection, network robustness analysis and intrusion detection. This paper is concerned with the prob...
Zakia Ferdousi, Akira Maeda
SIGCOMM
2010
ACM
13 years 5 months ago
ASTUTE: detecting a different class of traffic anomalies
When many flows are multiplexed on a non-saturated link, their volume changes over short timescales tend to cancel each other out, making the average change across flows close to ...
Fernando Silveira, Christophe Diot, Nina Taft, Ram...
ACMSE
2005
ACM
13 years 11 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha