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Minimize the Randomness in Rasta-Like Designs: How Far Can We Go? Application to Pasta

  • Lorenzo Grassi
  • , Fukang Liu
  • , Christian Rechberger
  • , Fabian Schmid (Corresponderende auteur)
  • , Roman Walch
  • , Qingju Wang

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

The Rasta design strategy allows building low-round ciphers due to its efficient prevention of statistical attacks and algebraic attacks by randomizing the cipher, which makes it especially suitable for hybrid homomorphic encryption (HHE), also known as transciphering. Such randomization is obtained by pseudorandomly sampling new invertible matrices for each round of each new cipher evaluation. However, naively sampling a random invertible matrix for each round significantly impacts the plain evaluation runtime, though it does not impact the homomorphic evaluation cost. To address this issue, Dasta was proposed at ToSC 2020 to reduce the cost of generating the random matrices. In this work, we address this problem from a different perspective: How far can the randomness in Rasta-like designs be reduced in order to minimize the plain evaluation runtime without sacrificing the security? To answer this question, we carefully studied the main threats to Rasta-like ciphers and the role of random matrices in ensuring security. We apply our results to the recently proposed cipher Pasta, proposing a modified version called PASTA v2 instantiated with one initial random matrix and fixed linear layers – obtained by combining two MDS matrices with the Kronecker product – for the other rounds. Compared with Pasta, the state-of-the-art cipher for BGV- and BFV-style HHE, our evaluation shows that PASTA v2 is up to 100 % faster in plain while having the same homomorphic runtime in the SEAL homomorphic encryption library and up to 30 % faster evaluation time in HElib, respectively.

Originele taal-2Engels
TitelSelected Areas in Cryptography – SAC 2024 - 31st International Conference, 2024, Revised Selected Papers
Subtitel31st International Conference, Montreal, QC, Canada, August 28–30, 2024, Revised Selected Papers, Part II
RedacteurenMaria Eichlseder, Sébastien Gambs
Plaats van productieCham
UitgeverijSpringer
Pagina's207-238
Aantal pagina's32
ISBN van elektronische versie978-3-031-82841-6
ISBN van geprinte versie978-3-031-82840-9
DOI's
StatusGepubliceerd - 13 mrt. 2025
Extern gepubliceerdJa

Publicatie series

NaamLecture Notes in Computer Science (LNCS)
Volume15517
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

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