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» Intrusion Detection using Continuous Time Bayesian Networks
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BMCBI
2007
172views more  BMCBI 2007»
13 years 7 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
ACSAC
2006
IEEE
14 years 1 months ago
V-COPS: A Vulnerability-Based Cooperative Alert Distribution System
The efficiency of promptly releasing security alerts of established analysis centers has been greatly challenged by the continuous emergence of various large scale network attack...
Shiping Chen, Dongyu Liu, Songqing Chen, Sushil Ja...
IUI
2006
ACM
14 years 1 months ago
Who's asking for help?: a Bayesian approach to intelligent assistance
Automated software customization is drawing increasing attention as a means to help users deal with the scope, complexity, potential intrusiveness, and ever-changing nature of mod...
Bowen Hui, Craig Boutilier
IJAIT
2007
180views more  IJAIT 2007»
13 years 7 months ago
Detection and Prediction of Rare Events in Transaction Databases
Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
Christos Berberidis, Ioannis P. Vlahavas
ACSAC
2005
IEEE
14 years 1 months ago
A Framework for Detecting Network-based Code Injection Attacks Targeting Windows and UNIX
Code injection vulnerabilities continue to prevail. Attacks of this kind such as stack buffer overflows and heap buffer overflows account for roughly half of the vulnerabilities...
Stig Andersson, Andrew Clark, George M. Mohay, Bra...