This paper precisely characterizes secret sharing schemes based on arbitrary linear codes by using the relative dimension/length profile (RDLP) and the relative generalized Hamming weight (RGHW). We first describe the equivocation Δm of the secret vector
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Jun KURIHARA, Tomohiko UYEMATSU, Ryutaroh MATSUMOTO, "Secret Sharing Schemes Based on Linear Codes Can Be Precisely Characterized by the Relative Generalized Hamming Weight" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 11, pp. 2067-2075, November 2012, doi: 10.1587/transfun.E95.A.2067.
Abstract: This paper precisely characterizes secret sharing schemes based on arbitrary linear codes by using the relative dimension/length profile (RDLP) and the relative generalized Hamming weight (RGHW). We first describe the equivocation Δm of the secret vector
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.2067/_p
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@ARTICLE{e95-a_11_2067,
author={Jun KURIHARA, Tomohiko UYEMATSU, Ryutaroh MATSUMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Secret Sharing Schemes Based on Linear Codes Can Be Precisely Characterized by the Relative Generalized Hamming Weight},
year={2012},
volume={E95-A},
number={11},
pages={2067-2075},
abstract={This paper precisely characterizes secret sharing schemes based on arbitrary linear codes by using the relative dimension/length profile (RDLP) and the relative generalized Hamming weight (RGHW). We first describe the equivocation Δm of the secret vector
keywords={},
doi={10.1587/transfun.E95.A.2067},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - Secret Sharing Schemes Based on Linear Codes Can Be Precisely Characterized by the Relative Generalized Hamming Weight
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2067
EP - 2075
AU - Jun KURIHARA
AU - Tomohiko UYEMATSU
AU - Ryutaroh MATSUMOTO
PY - 2012
DO - 10.1587/transfun.E95.A.2067
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2012
AB - This paper precisely characterizes secret sharing schemes based on arbitrary linear codes by using the relative dimension/length profile (RDLP) and the relative generalized Hamming weight (RGHW). We first describe the equivocation Δm of the secret vector
ER -