Welcome to the resource topic for 2024/1356
Title:
Leakage-Resilience of Circuit Garbling
Authors: Ruiyang Li, Yiteng Sun, Chun Guo, Francois-Xavier Standaert, Weijia Wang, Xiao Wang
Abstract:Due to the ubiquitous requirements and performance leap in the past decade, it has become feasible to execute garbling and secure computations in settings sensitive to side-channel attacks, including smartphones, IoTs and dedicated hardwares, and the possibilities have been demonstrated by recent works. To maintain security in the presence of a moderate amount of leaked information about internal secrets, we investigate {\it leakage-resilient garbling}. We augment the classical privacy, obliviousness and authenticity notions with leakages of the garbling function, and define their leakage-resilience analogues. We examine popular garbling schemes and unveil additional side-channel weaknesses due to wire label reuse and XOR leakages. We then incorporate the idea of label refreshing into the GLNP garbling scheme of Gueron et al. and propose a variant GLNPLR that provably satisfies our leakage-resilience definitions. Performance comparison indicates that GLNPLR is 60X (using AES-NI) or 5X (without AES-NI) faster than the HalfGates garbling with second order side-channel masking, for garbling AES circuit when the bandwidth is 2Gbps.
ePrint: https://eprint.iacr.org/2024/1356
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