High-throughput architecture for post-quantum DME cryptosystem

Ring learning-with-errors (RLWE)-based encryption scheme is a lattice-based cryptographic algorithm that constitutes one of the most promising candidates for Post-Quantum Cryptography (PQC) standardization due to its efficient implementation and low computational complexity. Binary Ring-LWE (BRLWE) is a new optimized variant of RLWE, which achieves smaller computational complexity and higher efficient hardware implementations. In this paper, two efficient architectures based on Linear-Feedback Shift Register (LFSR) for the arithmetic used in Inverted Binary Ring-LWE (InvBRLWE)-based encryption scheme are presented, namely the operation of A • B + C over the polynomial ring Z q /(x n + 1). The first architecture optimizes the resource usage for major computation and has a novel input processing setup to speed up the overall processing latency with minimized input loading cycles. The second architecture deploys an innovative serial-in serial-out processing format to reduce the involved area usage further yet maintains a regular input loading time-complexity. Experimental results show that the architectures presented here improve the complexities obtained by competing schemes found in the literature, e.g., involving 71.23% less areadelay product than recent designs. Both architectures are highly efficient in terms of area-time complexities and can be extended for deploying in different lightweight application environments.

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High-throughput architecture for post-quantum DME cryptosystem

Cited by 3 publications

References 15 publications

Post-Quantum Cryptosystem of Niederreiter, Algorithm and Encryption Scheme: Modification and Optimization

Post-Quantum Cryptosystem of Niederreiter, Algorithm and Encryption Scheme: Modification and Optimization

A Novel Classical and Quantum Cryptographic Scheme for Data Encryption

Efficient Hardware Arithmetic for Inverted Binary Ring-LWE Based Post-Quantum Cryptography

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