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Book review: Darwinia
Reviewed: Friday, August 11, 2006

Summer reading: Spin
Reviewed: Saturday, August 5, 2006

Runner
Reviewed: Tuesday, July 18, 2006

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Reviewed: Wednesday, July 12, 2006

the Golem's Eye
Reviewed: Wednesday, May 31, 2006





tinderbox

Detecting Threatening Behavior Using Bayesian Networks
Kathryn Laskey, Ghazi Alghamdi, Xun Wang, Daniel Barbará, Tom Shackelford, Ed Wright, Julie Fitzgerald, 2004 , (Paper URL)
Wednesday, May 19, 2004

Laskey et. al. present Multi-Entity Bayesian Networks (MEBN) as a tool for intrusion detection. A MEBN is a Bayesian Network built from fragments (MFrags) such that the same fragment may appear multiple times representing different entities in the "real" world. MFrags have a set of resident random variables (defined by the MFrag), input random variables (which condition the resident ones) and context random variables (whose value must be true for the MFrag to apply. The variables take arguments called entities. IET has implemented MEBNs in their Quiddity*Modeler (a frame based system augmented with uncertainty).

The paper provides a brief overview of MEBNs and then spends the bulk of its time on a particular example of intrusion detection and an experiment using Quiddity*Modeler. There is a reference to another paper MEBNs for Situation Assessment which doesn't seem to be online.


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