An optimal control approach to malware filtering

Michael Bloem, Tansu Alpcan, M Tamer Basar

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

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 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
Pages6059-6064
Number of pages6
DOIs
StatePublished - Dec 1 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)0191-2216

Other

Other46th IEEE Conference on Decision and Control 2007, CDC
CountryUnited States
CityNew Orleans, LA
Period12/12/0712/14/07

ASJC Scopus subject areas

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

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  • Cite this

    Bloem, M., Alpcan, T., & Basar, M. T. (2007). An optimal control approach to malware filtering. In Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC (pp. 6059-6064). [4434520] (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2007.4434520