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» Anomaly pattern detection in categorical datasets
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SAC
2010
ACM
13 years 9 months ago
Data stream anomaly detection through principal subspace tracking
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
Pedro Henriques dos Santos Teixeira, Ruy Luiz Mili...
SUTC
2006
IEEE
13 years 10 months ago
Native API Based Windows Anomaly Intrusion Detection Method Using SVM
While many researches of Host Anomaly Detection System using system calls under UNIX/UNIX-like systems have been done but little in Windows systems, we do the similar research und...
Miao Wang, Cheng Zhang, Jingjing Yu
IAT
2008
IEEE
13 years 11 months ago
Link-Based Anomaly Detection in Communication Networks
Communication networks, such as networks formed by phone calls and email communications, can be modeled as dynamic graphs with vertices representing agents and edges representing ...
Xiaomeng Wan, Evangelos E. Milios, Nauzer Kalyaniw...
SSDBM
2005
IEEE
175views Database» more  SSDBM 2005»
13 years 10 months ago
Assumption-Free Anomaly Detection in Time Series
Recent advancements in sensor technology have made it possible to collect enormous amounts of data in real time. However, because of the sheer volume of data most of it will never...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
CCS
2007
ACM
13 years 11 months ago
Network anomaly detection based on TCM-KNN algorithm
Intrusion detection is a critical component of secure information systems. Network anomaly detection has been an active and difficult research topic in the field of Intrusion Dete...
Yang Li, Binxing Fang, Li Guo, You Chen