Efficient Local Secret Sharing for Distributed Blockchain Systems

Yongjune Kim; Ravi Kiran Raman; Young Sik Kim; Lav R. Varshney; Naresh R. Shanbhag

doi:10.1109/LCOMM.2018.2886016

Efficient Local Secret Sharing for Distributed Blockchain Systems

Yongjune Kim, Ravi Kiran Raman, Young Sik Kim, Lav R. Varshney, Naresh R. Shanbhag

Research output: Contribution to journal › Article › peer-review

Abstract

Blockchain systems store transaction data in the form of a distributed ledger where each peer is to maintain an identical copy. Blockchain systems resemble repetition codes, incurring high storage cost. Recently, distributed storage blockchain (DSB) systems have been proposed to improve storage efficiency by incorporating secret sharing, private key encryption, and information dispersal algorithms. However, the DSB results in significant communication cost when peer failures occur due to denial of service attacks. In this letter, we propose a new DSB approach based on a local secret sharing (LSS) scheme with a hierarchical secret structure of one global secret and several local secrets. The proposed DSB approach with LSS improves the storage and recovery communication costs.

Original language	English (US)
Article number	8571305
Pages (from-to)	282-285
Number of pages	4
Journal	IEEE Communications Letters
Volume	23
Issue number	2
DOIs	https://doi.org/10.1109/LCOMM.2018.2886016
State	Published - Feb 2019

Keywords

Blockchain
distributed storage
secret sharing

ASJC Scopus subject areas

Modeling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Online availability

10.1109/LCOMM.2018.2886016

Library availability

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abstract = "Blockchain systems store transaction data in the form of a distributed ledger where each peer is to maintain an identical copy. Blockchain systems resemble repetition codes, incurring high storage cost. Recently, distributed storage blockchain (DSB) systems have been proposed to improve storage efficiency by incorporating secret sharing, private key encryption, and information dispersal algorithms. However, the DSB results in significant communication cost when peer failures occur due to denial of service attacks. In this letter, we propose a new DSB approach based on a local secret sharing (LSS) scheme with a hierarchical secret structure of one global secret and several local secrets. The proposed DSB approach with LSS improves the storage and recovery communication costs.",

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note = "Funding Information: Manuscript received September 16, 2018; revised October 22, 2018 and November 24, 2018; accepted November 28, 2018. Date of publication December 10, 2018; date of current version February 11, 2019. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and ICT) (No. NRF-2017R1A2B2010588). The associate editor coordinating the review of this paper and approving it for publication was M. Baldi. (Corresponding author: Young-Sik Kim.) Y. Kim was with the Coordinated Science Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA. He is now with Western Digital Research, Milpitas, CA 95035 USA (e-mail: yongjune.kim@wdc.com). Publisher Copyright: {\textcopyright} 1997-2012 IEEE.",

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N1 - Funding Information: Manuscript received September 16, 2018; revised October 22, 2018 and November 24, 2018; accepted November 28, 2018. Date of publication December 10, 2018; date of current version February 11, 2019. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and ICT) (No. NRF-2017R1A2B2010588). The associate editor coordinating the review of this paper and approving it for publication was M. Baldi. (Corresponding author: Young-Sik Kim.) Y. Kim was with the Coordinated Science Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA. He is now with Western Digital Research, Milpitas, CA 95035 USA (e-mail: yongjune.kim@wdc.com). Publisher Copyright: © 1997-2012 IEEE.

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Efficient Local Secret Sharing for Distributed Blockchain Systems

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