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» Anomaly Detection Using the Dempster-Shafer Method
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IMC
2005
ACM
14 years 1 months ago
Combining Filtering and Statistical Methods for Anomaly Detection
In this work we develop an approach for anomaly detection for large scale networks such as that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that...
Augustin Soule, Kavé Salamatian, Nina Taft
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...
GLOBECOM
2009
IEEE
13 years 11 months ago
Anomaly-Based Identification of Large-Scale Attacks
Abstract--Large-scale attacks like Distributed Denial-ofService (DDoS) attacks still pose unpredictable threats to the Internet infrastructure and Internet-based business. Thus, ma...
Thomas Gamer
TJS
2010
182views more  TJS 2010»
13 years 6 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
ISICA
2009
Springer
14 years 2 months ago
Detecting Network Anomalies Using CUSUM and EM Clustering
Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types and ...
Wei Lu, Hengjian Tong