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Protecting against key-exposure: strongly key-insulated encryption with optimal threshold

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Applicable Algebra in Engineering, Communication and Computing Aims and scope

Abstract

Key-insulated encryption schemes use a combination of key splitting and key evolution to protect against key exposure. Existing schemes, however scale poorly, having cost proportional to the number t of time periods that may be compromised by the adversary, and thus are practical only for small values of t. Yet in practice t might be large.

This paper presents a strongly key-insulated encryption scheme with optimal threshold. In our scheme, t need not be known in advance and can be as large as one less than the total number of periods, yet the cost of the scheme is not impacted. This brings key-insulated encryption closer to practice. Our scheme is based on the Boneh-Franklin identity-based encryption (IBE) scheme [9], and exploits algebraic properties of the latter.

Another contribution of this paper is to show that (not strongly) key-insulated encryption with optimal threshold and allowing random-access key updates (which our scheme and all others known allow) is equivalent to a restricted form of IBE. This means that the connection between key-insulated encryption and IBE is not accidental.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science & Engineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, California, 92093, USA

    Mihir Bellare

  2. Dept. of Computer Science & Engineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, California, 92093, USA

    Adriana Palacio

Authors
  1. Mihir Bellare
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  2. Adriana Palacio
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Corresponding author

Correspondence to Mihir Bellare.

Additional information

Supported in part by NSF grants CCR-0098123, ANR-0129617 and CCR-0208842, and by an IBM Faculty Partnership Development Award.

Supported in part by an NSF graduate fellowship.

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Bellare, M., Palacio, A. Protecting against key-exposure: strongly key-insulated encryption with optimal threshold. AAECC 16, 379–396 (2006). https://doi.org/10.1007/s00200-005-0183-y

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  • DOI: https://doi.org/10.1007/s00200-005-0183-y

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