Secure information flow analysis for hardware design: using the right abstraction for the job

  • Authors:
  • Xun Li;Mohit Tiwari;Ben Hardekopf;Timothy Sherwood;Frederic T. Chong

  • Affiliations:
  • University of California, Santa Barbara;University of California, Santa Barbara;University of California, Santa Barbara;University of California, Santa Barbara;University of California, Santa Barbara

  • Venue:
  • PLAS '10 Proceedings of the 5th ACM SIGPLAN Workshop on Programming Languages and Analysis for Security
  • Year:
  • 2010

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Abstract

Hardware designers need to precisely analyze high-level descriptions for illegal information flows. Language-based information flow analyses can be applied to hardware description languages, but a straight-forward application either conservatively rules out many secure hardware designs, or constrains the designers to work at impractically low levels of abstraction. We demonstrate that choosing the right level of abstraction for the analysis, by working on Finite State Machines instead of the hardware code, allows both precise information flow analysis and high-level programmability.