Analyzes of Block Recombination and Lazy Interpolation Methods and Their Applications to Saber

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2022-2-28

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Aksoy, Berkin

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Since the beginning of the National Institute of Standards and Technology (NIST), The Post-Quantum Cryptography (PQC) Standardization Process, efficient implementations of lattice-based algorithms have been studied extensively. Lattice-based NIST PQC finalists use polynomial or matrix-vector multiplications on the ring with type {Z}_{q}[x] / f(x). For convenient ring types, Number Theoretic Transform (NTT) can be used to perform multiplications as done in Crystals-KYBER among the finalists of the NIST PQC Standardization Process. On the other hand, if the q value of the scheme is a power of 2, as in NTRU and Saber, which are among the other lattice-based finalists, NTT can not be used explicitly. Hence multiplications are performed by the combination of Toom-Cook and Karatsuba algorithms. Recently, a novel technique called lazy interpolation has been introduced to increase the performance of Toom-Cook and Karatsuba algorithms. This thesis shows that the block recombination method is equivalent to lazy interpolation and can be used efficiently on multiplication algorithms. On the practical side, we compare different hybrid multiplication algorithms, then implement the block recombination method for Saber. Performance results are given in cycle values on general-purpose Intel processors with C implementation. Our work speeds up key generation, encapsulation, and decapsulation parts of Saber than the previous C implementations in the literature with a rate of between 10%-13%.

Subject Keywords

Post-Quantum Cryptography, Lattice-Based Cryptography, Saber, Efficient Algorithm Implementations, Block Recombination, Lazy Interpolation

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https://hdl.handle.net/11511/96251

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Graduate School of Applied Mathematics, Thesis

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Citation Formats

B. Aksoy, “Analyzes of Block Recombination and Lazy Interpolation Methods and Their Applications to Saber,” M.S. - Master of Science, Middle East Technical University, 2022.