Paper 2010/391

Exponential Bounds for Information Leakage in Unknown-Message Side-Channel Attacks

Daniel Z. Zanger


In Backes&Kopf(2008), the authors introduced an important new information theoretic numerical measure for assessing a system's resistance to unknown-message side-channel attacks and computed a formula for the limit of the numerical values defined by this measure as the number of side-channel observations tends to infinity. Here, we present corresponding quantitative (exponential) bounds that yield an actual rate-of-convergence for this limit, something not given in Backes&Kopf(2008). Such rate-of-convergence results can potentially be used to significantly strengthen the utility of the limit formula of Backes&Kopf(2008) as a tool to reduce computational complexity difficulties associated with calculating the side-channel attack resistance measure presented there. In addition, our arguments here show how the arguments used in Backes&Kopf(2008) to prove the limit formula can be substantially simplified.

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Published elsewhere. Unknown where it was published
Side Channel AttacksInformation Theory
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danielzanger @ gmail com
2010-07-10: received
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      author = {Daniel Z.  Zanger},
      title = {Exponential Bounds for Information Leakage in Unknown-Message Side-Channel Attacks},
      howpublished = {Cryptology ePrint Archive, Paper 2010/391},
      year = {2010},
      note = {\url{}},
      url = {}
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