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An Optimal Control Approach to Malware Filtering Michael Bloem1,2
 

Summary: An Optimal Control Approach to Malware Filtering
Michael Bloem1,2
NASA Ames Research Center
Moffett Field, CA 94035-1000, USA
michael.j.bloem@nasa.gov
Tansu Alpcan1
Deutsche Telekom Laboratories
Technische Universitšat Berlin
Ernst-Reuter-Platz 7, 10587, Germany
tansu.alpcan@telekom.de
Tamer Basžar2
Coordinated Science Lab
University of Illinois
1308 West Main Street
Urbana, IL 61801, USA
tbasar@control.csl.uiuc.edu
Abstract-- We study and develop an optimal control theoretic
approach to malware filtering in the context of network security.
We investigate the malware filtering problem by capturing the
tradeoff between increased security on one hand and continued

  

Source: Alpcan, Tansu - Deutsche Telekom Laboratories & Technische Universität Berlin

 

Collections: Engineering