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Binary Ring-LWE hardware with power side-channel countermeasures

Authors: Aydin Aysu; Michael Orshansky; Mohit Tiwari;

Binary Ring-LWE hardware with power side-channel countermeasures

Abstract

We describe the first hardware implementation of a quantum-secure encryption scheme along with its low-cost power side-channel countermeasures. The encryption uses an implementation-friendly Binary-Ring-Learning-with-Errors (B-RLWE) problem with binary errors that can be efficiently generated in hardware. We demonstrate that a direct implementation of B-RLWE exhibits vulnerability to power side-channel attacks, even to Simple Power Analysis, due to the nature of binary coefficients. We mitigate this vulnerability with a redundant addition and memory update. To further protect against Differential Power Analysis (DPA), we use a B-RLWE specific opportunity to construct a lightweight yet effective countermeasure based on randomization of intermediate states and masked threshold decoding. On a SAKURA-G FPGA board, we show that our method increases the required number of measurements for DPA attacks by 40 χ compared to unprotected design. Our results also quantify the trade-off between side-channel security and hardware area-cost of B-RLWE.

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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!
34
Top 10%
Top 10%
Top 10%
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