Titlebook: Information Security and Privacy; 29th Australasian Co Tianqing Zhu,Yannan Li Conference proceedings 2024 The Editor(s) (if applicable) and

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Efficient Search for?Optimal Permutations of?Refined Type-II Generalized Feistel Structures trade-off between efficiency (i.e. the number of rounds) and compactness (i.e. the partition number). Hence, Suzaki et al. (in FSE2010), Cauchois et al. (in FSE2019) and Derbez et al. (in FSE2019) studied how to find optimal permutations for Type-II Generalized Feistel Structures to improve the dif

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F-FHEW: High-Precision Approximate Homomorphic Encryption with?Batch Bootstrapping state-of-the-art, the CKKS-like scheme (Jutla et al., EUROCRYPT 2022) achieves a precision of 100-bit decimal as the messages originally include some encoding noise, as well as some additional errors will be generated by bootstrapping operation. Nonetheless, operations with higher precision are als

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: Homomorphic Encryption of?Rationals Using Laurent Polynomialsts Laurent polynomials as inputs, allowing it to work with rationals via their bounded base-. expansions. This eliminates the need for a specialized encoder and streamlines encryption, while maintaining comparable efficiency to BFV. To achieve this, we introduce a new variant of the . (PLWE) problem

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Approximate Methods for?the?Computation of?Step Functions in?Homomorphic Encryptionny step function can be expressed as a linear combination of shifted sign functions. This connection enables the homomorphic evaluation of any step function using known polynomial approximations of the sign function. The second method boosts computational efficiency by employing a composite polynomi

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