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96
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KDD
2003
ACM
155views Data Mining» more  KDD 2003»
16 years 2 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
ICML
2010
IEEE
15 years 2 months ago
Application of Machine Learning To Epileptic Seizure Detection
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
Ali H. Shoeb, John V. Guttag
MATA
2004
Springer
189views Communications» more  MATA 2004»
15 years 7 months ago
APHIDS: A Mobile Agent-Based Programmable Hybrid Intrusion Detection System
Abstract. Intrusion detection systems are quickly becoming a standard requirement in building a network security infrastructure. Although many established techniques and commercial...
Ken Deeter, Kapil Singh, Steve Wilson, Luca Filipo...
ISI
2008
Springer
15 years 12 days ago
Anomaly detection in high-dimensional network data streams: A case study
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Ji Zhang, Qigang Gao, Hai H. Wang
97
Voted
SUTC
2006
IEEE
15 years 8 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