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» Detecting Anomalies and Intruders
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AUSAI
2006
Springer
14 years 2 months ago
Detecting Anomalies and Intruders
Brittleness is a well-known problem in expert systems where a conclusion can be made, which human common sense would recognise as impossible e.g. that a male is pregnant. We have e...
Akara Prayote, Paul Compton
RAID
2004
Springer
14 years 4 months ago
Anomaly Detection Using Layered Networks Based on Eigen Co-occurrence Matrix
Anomaly detection is a promising approach to detecting intruders masquerading as valid users (called masqueraders). It creates a user profile and labels any behavior that deviates...
Mizuki Oka, Yoshihiro Oyama, Hirotake Abe, Kazuhik...
FLAIRS
2008
14 years 1 months ago
Distance Metric Learning for Conditional Anomaly Detection
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
Michal Valko, Milos Hauskrecht
SECON
2008
IEEE
14 years 5 months ago
A Three-Tier Framework for Intruder Information Sharing in Sensor Networks
—In sensor networks, an intruder (i.e., compromised node) identified and isolated in one place can be relocated and/or duplicated to other places to continue attacks; hence, det...
Bin Tong, Santosh Panchapakesan, Wensheng Zhang
ICCCN
2008
IEEE
14 years 5 months ago
Massively Parallel Anomaly Detection in Online Network Measurement
—Detecting anomalies during the operation of a network is an important aspect of network management and security. Recent development of high-performance embedded processing syste...
Shashank Shanbhag, Tilman Wolf