Motivation The CryptoVerif input language Language annotations Code generation Conclusion

David Cade

Description

Motivation The CryptoVerif input language Language annotations Code generation Conclusion From CryptoVerif Specifications to Computationally Secure Implementations of Protocols (Work in Progress) David Cade Ecole Normale Superieure, CNRS, INRIA 19 June 2009

• cryptoverif input language


• cryptographic protocols


• code generation


• language annotations


• protocol code


• computational model

Sujets

• Blanchet
• Cryptographic protocol
• Code generation
• Computational model

Informations

• Publié par: pefav
• Nombre de lectures: 82
• Langue: English

Extrait

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19 June 2009

DavidCad´e ´ Ecole Normale Sup´ri , CNRS, INRIA e eure

From CryptoVerif Specifications to Computationally Secure Implementations of Protocols (Work in Progress)

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I We are doing it the other way around ! I Our goal is the same: we want at the end a proved implementation of cryptographic protocols.

Related work Bhargavan et al.: From protocol implementation in ML, generate a CryptoVerif specification and then prove it.

Get automatically a proved implementation in ML of a cryptographic protocol, by: I Annotating a CryptoVerif specification, I Compiling it into protocol code.

Motivation