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PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 1 months 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
RAID
2009
Springer
14 years 2 months ago
Autonomic Intrusion Detection System
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
Wei Wang 0012, Thomas Guyet, Svein J. Knapskog
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 ...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 8 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
ICARIS
2007
Springer
14 years 1 months ago
A Novel Immune Inspired Approach to Fault Detection
This paper presents a novel immune inspired algorithm, named DERA (Dynamic Effector Regulatory Algorithm), aimed at fault detection and other anomaly detection problems. It integr...
Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M....