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2018-02-02
Liu, Zhe, Pöppelmann, Thomas, Oder, Tobias, Seo, Hwajeong, Roy, Sujoy Sinha, Güneysu, Tim, Großschädl, Johann, Kim, Howon, Verbauwhede, Ingrid.  2017.  High-Performance Ideal Lattice-Based Cryptography on 8-Bit AVR Microcontrollers. ACM Trans. Embed. Comput. Syst.. 16:117:1–117:24.
Over recent years lattice-based cryptography has received much attention due to versatile average-case problems like Ring-LWE or Ring-SIS that appear to be intractable by quantum computers. In this work, we evaluate and compare implementations of Ring-LWE encryption and the bimodal lattice signature scheme (BLISS) on an 8-bit Atmel ATxmega128 microcontroller. Our implementation of Ring-LWE encryption provides comprehensive protection against timing side-channels and takes 24.9ms for encryption and 6.7ms for decryption. To compute a BLISS signature, our software takes 317ms and 86ms for verification. These results underline the feasibility of lattice-based cryptography on constrained devices.
2017-10-27
Buchmann, Johannes, Göpfert, Florian, Güneysu, Tim, Oder, Tobias, Pöppelmann, Thomas.  2016.  High-Performance and Lightweight Lattice-Based Public-Key Encryption. Proceedings of the 2Nd ACM International Workshop on IoT Privacy, Trust, and Security. :2–9.
In the emerging Internet of Things, lightweight public-key cryptography is an essential component for many cost-efficient security solutions. Since conventional public-key schemes, such as ECC and RSA, remain expensive and energy hungry even after aggressive optimization, this work investigates a possible alternative. In particular, we show the practical potential of replacing the Gaussian noise distribution in the Ring-LWE based encryption scheme by Lindner and Peikert/Lyubashevsky et al. with a binary distribution. When parameters are carefully chosen, our construction is resistant against any state-of-the-art cryptanalytic techniques (e.g., attacks on original Ring-LWE or NTRU) and suitable for low-cost scenarios. In the end, our scheme can enable public-key encryption even on very small and low-cost 8-bit (ATXmega128) and 32-bit (Cortex-M0) microcontrollers.