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The Computer Journal
Article . 2022 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
DBLP
Article . 2023
Data sources: DBLP
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Indistinguishable Leakage-Resilient Circuit Compiler

Authors: Shiyou Xu; Jian Wang; Liangliang Wang;

Indistinguishable Leakage-Resilient Circuit Compiler

Abstract

Abstract Transforming any circuit into a circuit with the same functionality but resilience against well-defined classes of leakage is an essential subject of cryptography. Whereas, according to the relationship between $VBB$ and simulated leakage-resilient circuit compiler, the compiling needs a specific mechanism to guarantee that its input is free of any leakage. Unfortunately, it makes it tough to implement this strategy in the context of actual leaks. In this work, we formally propose the indistinguishable bounded leakage-resilient circuit compiler $\bar{C}$ to solve the problem mentioned above. Specifically, it specifies that any polynomial-time adversary who derives the bound secret information from the circuit compiler can not distinguish an equivalent compiled circuit $\bar{C}^{\prime}$ with the same output. To achieve this goal, first, we utilize the leakage-resilient indistinguishable encoding as its input. Second, it takes advantage of the indistinguishability obfuscation $(IO)$ program to construct an obfuscated circuit that removes the random coins of the input encoding . Its total running time is the original circuit $C$ running time plus $poly(\kappa )$, and the size is independent of the original $C$. As this new compiler overcomes the restriction of the simulated-based leakage resilient circuit compiler,it will bring an independent interest result in leakage-resilient cryptography.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid