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» Detecting Anomalies in Graphs
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GLOBECOM
2006
IEEE
14 years 1 months ago
Wavelet-based Detection of DoS Attacks
— Automated detection of anomalies in network traffic is an important and challenging task. In this work we propose an automated system to detect volume-based anomalies in netwo...
Alberto Dainotti, Antonio Pescapè, Giorgio ...
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 26 days ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 8 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
DSN
2008
IEEE
14 years 1 months ago
Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change
: Automated tools for understanding application behavior and its changes during the application life-cycle are essential for many performance analysis and debugging tasks. Applicat...
Ludmila Cherkasova, Kivanc M. Ozonat, Ningfang Mi,...
IJNSEC
2008
113views more  IJNSEC 2008»
13 years 7 months ago
An Effective Anomaly Detection Method in SMTP Traffic
We investigate an effective and robust mechanism for detecting SMTP traffic anomaly. Our detection method cumulates the deviation of current delivering status from history behavio...
Hao Luo, Binxing Fang, Xiao-chun Yun, Zhi-Gang Wu