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CISS
2008
IEEE
15 years 10 months ago
Unsupervised distributional anomaly detection for a self-diagnostic speech activity detector
— One feature that classification algorithms typically lack is the ability to know what they do not know. With this knowledge an algorithm would be able to operate in any domain...
Nash M. Borges, Gerard G. L. Meyer
AUSAI
2006
Springer
15 years 7 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
IJNSEC
2008
137views more  IJNSEC 2008»
15 years 4 months ago
Baseline Profile Stability for Network Anomaly Detection
Network attacks are commonplace in the Internet. One of the defense mechanisms against the network attacks is using a baseline profile established during normal operation to detec...
Yoohwan Kim, Ju-Yeon Jo, Kyunghee Kim Suh
IJNSEC
2008
95views more  IJNSEC 2008»
15 years 4 months ago
Generalized Anomaly Detection Model for Windows-based Malicious Program Behavior
In this paper we demonstrate that it is possible in general to detect Windows-based malicious program behavior. Since S. Forrest et al. used the N-grams method to classify system ...
Xin Tang, Constantine N. Manikopoulos, Sotirios G....
DCOSS
2007
Springer
15 years 10 months ago
Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Luís M. A. Bettencourt, Aric A. Hagberg, Le...