Method and system for assessing attacks on computer networks using Bayesian networks

   
   

A method and system are disclosed for processing data from a computer network to determine an occurrence of and characterize a particular activity associated with the computer network. In accordance with exemplary embodiments of the present invention, a collection of data is managed that corresponds to events associated with the computer network. At least one model is established to correlate an occurrence of a predetermined set of events. At least one hypothesis is formed, using the at least one model, that characterizes the particular activity associated with the computer network. The at least one hypothesis is evaluated using the at least one model. The steps of forming and evaluating are performed interactively with the step of managing to iteratively update the collection of data.

 
Web www.patentalert.com

< SYSTEM AND METHOD FOR RETRIEVING A BACKUP FILE HAVING A FILE NAME EXACTLY CORRESPONDING TO THE DATE AND TIME OF A CLIENT REQUEST, IF NO EXACT MATCH FOR THE DATE AND TIME CORRESPONDING TO THE CLIENT REQUEST IS FOUND, TO SEARCH FOR THE BACKUP FILE HAVING THE FILE NAME WITH A DATE AND TIME THAT ARE CLOSEST TO BUT PRIOR TO THE SPECIFIED DATE AND TIME

< System software architecture for a passenger entertainment system, method and article of manufacture

> Extensible architecture for versioning APIs

> Method and system for recovering mirrored logical data volumes within a data processing system

~ 00188