Information theory and security: quantitative information flow

  • Authors:
  • Pasquale Malacaria;Jonathan Heusser

  • Affiliations:
  • School of Electronic Engineering and Computer Science, Queen Mary University of London;School of Electronic Engineering and Computer Science, Queen Mary University of London

  • Venue:
  • SFM'10 Proceedings of the Formal methods for quantitative aspects of programming languages, and 10th international conference on School on formal methods for the design of computer, communication and software systems
  • Year:
  • 2010

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Abstract

We present the information theoretical basis of Quantitative Information Flow. We show the relationship between lattices, partitions and information theoretical concepts and their applicability to quantify leakage of confidential information in programs, including looping programs. We also report on recent works that use these ideas to build tools for the automatic quantitative analysis of programs. The applicability of this information theoretical framework to the wider context of network protocols and the use of Lagrange multipliers in this setting is also demonstrated.