公开(公告)号：US20230102012A1

公开(公告)日：2023-03-30

申请号：US17490965

申请日：2021-09-30

Applicant: Seagate Technology LLC

Inventor： Nolan MIRANDA ,  Vipin Singh SEHRAWAT ,  Foo Yee YEO

IPC: H04L9/08

Abstract: Polynomial function secret sharing provides for computation of reconstruction share results for a polynomial function on an input. An allocatable share of the polynomial function is received at a computing system of the share result computation systems. The allocatable share is generated from the polynomial function. Each of the allocatable shares is distributed to a unique share result computation system of the share result computation systems. Each allocatable share includes a share element for each coefficient in the polynomial function, wherein the share elements for a coefficient across the share result computation systems summing to the coefficient. A reconstruction share result is generated at the computing system by computing a dot product of the input and the allocatable share received by the computing system. A combination of the reconstruction share results generated by the share result computation systems yields a reconstructed result of the polynomial function on the input.

公开(公告)号：US20230095443A1

公开(公告)日：2023-03-30

申请号：US17489592

申请日：2021-09-29

Applicant: Seagate Technology LLC

Inventor： Foo Yee YEO ,  Nolan MIRANDA ,  Vipin Singh SEHRAWAT

IPC: H04L9/08 ,  H04L9/00 ,  H04L9/06

Abstract: A function secret sharing (FSS) scheme that facilitates multiple evaluations of a secret function. The FSS scheme includes a function share based on a secret function and at least one key of a key-homomorphic pseudo random function (PRF). At least one key and a function share are provided to each party in the FSS scheme. In turn, each party may generate an output share comprising a function share output evaluated at a function input and a masking component generated based on the at least one key in relation to the key-homomorphic PRF. In turn, the output shares of each participating party may be combined to evaluate the secret function. The FSS scheme facilitates multiple evaluations of the secret function without leaking information regarding the secret function.