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Dimensions of Declassification in Theory and Practice

  • Andrei Sabelfeld
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4846)

Abstract

Computing systems often deliberately release (or declassify) sensitive information. A principal security concern for systems permitting information release is whether this release is safe: is it possible that the attacker compromises the information release mechanism and extracts more secret information than intended? While the security community has recognized the importance of the problem, the state-of-the-art in information release is, unfortunately, a number of approaches with somewhat unconnected semantic goals. We provide a road map of the main directions of current research, by classifying the basic goals according to what information is released, who releases information, where in the system information is released, and when information can be released. We apply this classification in order to evaluate the security of a case study realized in a security-typed language: an implementation of a non-trivial cryptographic protocol that allows playing online poker without a trusted third party. In addition, we identify some prudent principles of declassification. These principles shed light on existing definitions and may also serve as useful “sanity checks” for emerging models.

The talk is based on joint work, in part, with David Sands, and, in part, with Aslan Askarov.

Keywords

Information Theory Computing System Problem Complexity System Information Algorithm Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Andrei Sabelfeld
    • 1
  1. 1.Dept. of Computer Science and Engineering, Chalmers University of Technology, 412 96 GothenburgSweden

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