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» Learning and Classification of Malware Behavior
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CHI
2010
ACM
14 years 2 months ago
Using reinforcement to strengthen users' secure behaviors
Users have a strong tendency toward dismissing security dialogs unthinkingly. Prior research has shown that users' responses to security dialogs become significantly more tho...
Ricardo Villamarín-Salomón, Jos&eacu...
IJNSEC
2008
95views more  IJNSEC 2008»
13 years 7 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....
AMI
2009
Springer
14 years 2 months ago
Behavior Analysis Based on Coordinates of Body Tags
This paper describes fall detection, activity recognition and the detection of anomalous gait in the Confidence project. The project aims to prolong the independence of the elderly...
Mitja Lustrek, Bostjan Kaluza, Erik Dovgan, Bogdan...
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
14 years 8 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng
ICML
2003
IEEE
14 years 8 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews