A Commitment Scheme with Output Locality-3 Fit for the IoT Device
A Commitment Scheme with Output Locality-3 Fit for the IoT Device
复制标题
适合物联网设备的Output Locality-3承诺方案
DOI:
10.1155/2021/2949513
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发表时间:
2021
影响因子:
--
通讯作者:
and Atsuko Miyaji
中科院分区:
文献类型:
--
作者:
Hideaki Miyaji;Yuntao Wang;Akinori Kawachi;and Atsuko Miyaji
Low output locality is a property of functions, in which every output bit depends on a small number of input bits. In IoT devices with only a fragile CPU, it is important for many IoT devices to cooperate to execute a single function. In such IoT’s collaborative work, a feature of low output locality is very useful. This is why it is desirable to reconstruct cryptographic primitives with low output locality. However, until now, commitment with a constant low output locality has been constructed by using strong randomness extractors from a nonconstant‐output‐locality collision‐resistant hash function. In this paper, we construct a commitment scheme with output locality‐3 from a constant‐output‐locality collision‐resistant hash function for the first time. We prove the computational hiding property of our commitment by the decisional (M,δ)‐bSVP assumption and prove the computational binding property by the (M,δ)‐bSVP assumption, respectively. Furthermore, we prove that the (M,δ)‐bSVP assumption can be reduced to the decisional (M,δ)‐bSVP assumption. We also give a parameter suggestion for our commitment scheme with the 128 bit security.
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DOI:
10.1007/978-3-319-97916-8_6
发表时间:
2018
期刊:
Advances in Information and Computer Security
影响因子:
--
作者:
Wang Weiyao;Wang Yuntao;Takayasu Atsushi;Takagi Tsuyoshi
通讯作者:
Takagi Tsuyoshi
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
Hideaki Miyaji;Akinori Kawachi;Atsuko Miyaji
通讯作者:
Atsuko Miyaji
DOI:
--
发表时间:
2017
期刊:
Tutorials on the Foundations of Cryptography
影响因子:
--
作者:
Benny Applebaum
通讯作者:
Benny Applebaum
DOI:
10.1109/candar51075.2020.00030
发表时间:
2020
期刊:
2020 Eighth International Symposium on Computing and Networking (CANDAR)
影响因子:
--
作者:
Hideaki Miyaji;A. Miyaji;Yuntao Wang
通讯作者:
Yuntao Wang
影响因子:
3.9
作者:
Markov Ciphers;J. Bradford
通讯作者:
J. Bradford