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» Attack Plan Recognition and Prediction Using Causal Networks
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ACSAC
2004
IEEE
13 years 8 months ago
Attack Plan Recognition and Prediction Using Causal Networks
Correlating and analyzing security alerts is a critical and challenging task in security management. Recently, some techniques have been proposed for security alert correlation. H...
Xinzhou Qin, Wenke Lee
EPIA
2009
Springer
13 years 11 months ago
Intention Recognition via Causal Bayes Networks Plus Plan Generation
Abstract. In this paper, we describe a novel approach to tackle intention recognition, by combining dynamically configurable and situation-sensitive Causal Bayes Networks plus pla...
Luís Moniz Pereira, Han The Anh
UMUAI
1998
157views more  UMUAI 1998»
13 years 4 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
SEC
1996
13 years 6 months ago
Intention modelling: approximating computer user intentions for detection and prediction of intrusions
This paper introduces and describes an innovative modelling approach which utilises models that are synthesised through approximate calculations of user actions and extensive repr...
Thomas Spyrou, John Darzentas
ICML
2005
IEEE
14 years 5 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell