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» Detecting Anomalies and Intruders
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AUSAI
2006
Springer
15 years 1 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
15 years 2 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 12 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
15 years 4 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
15 years 4 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