BiTR: Built-in Tamper Resilience

  • Seung Geol Choi
  • Aggelos Kiayias
  • Tal Malkin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7073)


The assumption of the availability of tamper-proof hardware tokens has been used extensively in the design of cryptographic primitives. For example, Katz (Eurocrypt 2007) suggests them as an alternative to other setup assumptions, towards achieving general UC-secure multi-party computation. On the other hand, a lot of recent research has focused on protecting security of various cryptographic primitives against physical attacks such as leakage and tampering.

In this paper we put forward the notion of Built-in Tamper Resilience (BiTR) for cryptographic protocols, capturing the idea that the protocol that is encapsulated in a hardware token is designed in such a way so that tampering gives no advantage to an adversary. Our definition is within the UC model, and can be viewed as unifying and extending several prior related works. We provide a composition theorem for BiTR security of protocols, impossibility results, as well as several BiTR constructions for specific cryptographic protocols or tampering function classes. In particular, we achieve general UC-secure computation based on a hardware token that may be susceptible to affine tampering attacks. We also prove that two existing identification and signature schemes (by Schnorr and Okamoto, respecitively) are already BiTR against affine attacks (without requiring any modification or endcoding). We next observe that non-malleable codes can be used as state encodings to achieve the BiTR property, and show new positive results for deterministic non-malleable encodings for various classes of tampering functions.

Copyright information

© International Association for Cryptologic Research 2011

Authors and Affiliations

  • Seung Geol Choi
    • 1
  • Aggelos Kiayias
    • 2
  • Tal Malkin
    • 3
  1. 1.University of MarylandUSA
  2. 2.University of ConnecticutUSA
  3. 3.Columbia UniversityUSA

Personalised recommendations