An optimal control approach to malware filtering

Michael Bloem, Tansu Alpcan, Tamer Başar

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 usability of the network on the other. We analyze the problem using a linear control system model with a quadratic cost structure and develop algorithms based on H-optimal control theory. A dynamic feedback filter is derived and shown to be an improvement over various heuristic approaches to malware filtering via numerical analysis. The results obtained are verified and demonstrated with packet level simulations on the Ns-2 network simulator.

Original languageEnglish (US)
Title of host publicationProceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)1424414989, 9781424414987
StatePublished - 2007
Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States
Duration: Dec 12 2007Dec 14 2007

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370


Other46th IEEE Conference on Decision and Control 2007, CDC
Country/TerritoryUnited States
CityNew Orleans, LA

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization


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