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Paper 2018/1238

Memory-Constrained Implementation of Lattice-based Encryption Scheme on the Standard Java Card Platform

Ye Yuan and Kazuhide Fukushima and Junting Xiao and Shinsaku Kiyomoto and Tsuyoshi Takagi

Abstract

Memory-constrained devices, including widely used smart cards, require resisting attacks by the quantum computers. Lattice-based encryption scheme possesses high efficiency and reliability which could run on small devices with limited storage capacity and computation resources such as IoT sensor nodes or smart cards. We present the first implementation of a lattice-based encryption scheme on the standard Java Card platform by combining number theoretic transform and improved Montgomery modular multiplication. The running time of decryption is nearly optimal (about 7 seconds for 128-bit security level). We also optimize discrete Ziggurat algorithm and Knuth-Yao algorithm to sample from prescribed probability distributions on the Java Card platform. More importantly, we indicate that polynomial multiplication can be performed on Java Card efficiently even if the long integers are not supported, which makes running more lattice-based cryptosystems on smart cards achievable.

Note: A preliminary version of this paper appeared with the title "Memory-constrained implementation of lattice-based encryption scheme on standard Java Card" in proceedings of 2017 IEEE International Symposium on Hardware Oriented Security and Trust (HOST).

Metadata
Available format(s)
PDF
Category
Implementation
Publication info
Published elsewhere. Major revision. Proceedings of 2017 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)
DOI
10.1109/HST.2017.7951796
Keywords
Post-Quantum CryptographyLattice-based Encryption SchemeJava CardDiscrete Gaussian SamplingMontgomery Modular MultiplicationNumber Theoretic Transform
Contact author(s)
y-yuan @ math kyushu-u ac jp
History
2018-12-31: received
Short URL
https://ia.cr/2018/1238
License
Creative Commons Attribution
CC BY
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