• DocumentCode
    153579
  • Title

    Automating Efficient RAM-Model Secure Computation

  • Author

    Chang Liu ; Yan Huang ; Shi, Elaine ; Katz, Jonathan ; Hicks, Michael

  • Author_Institution
    Univ. of Maryland, College Park, MD, USA
  • fYear
    2014
  • fDate
    18-21 May 2014
  • Firstpage
    623
  • Lastpage
    638
  • Abstract
    RAM-model secure computation addresses the inherent limitations of circuit-model secure computation considered in almost all previous work. Here, we describe the first automated approach for RAM-model secure computation in the semi-honest model. We define an intermediate representation called SCVM and a corresponding type system suited for RAM-model secure computation. Leveraging compile-time optimizations, our approach achieves order-of-magnitude speedups compared to both circuit-model secure computation and the state-of-art RAM-model secure computation.
  • Keywords
    program compilers; random-access storage; security of data; SCVM; automated RAM-model secure computation approach; compile-time optimizations; intermediate representation; order-of-magnitude speedups; random access machine; Arrays; Computational modeling; Integrated circuit modeling; Program processors; Protocols; Random access memory; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security and Privacy (SP), 2014 IEEE Symposium on
  • Conference_Location
    San Jose, CA
  • ISSN
    1081-6011
  • Type

    conf

  • DOI
    10.1109/SP.2014.46
  • Filename
    6956591