LNBFSM: A Food Safety Management System Using Blockchain and Lightning Network

Zhengkang Fang, Keke Gai*, Liehuang Zhu, Lei Xu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Food safety management (FSM) has drawn attention recently, specifically after COVID-19 outbreak, due to lack of supervision in food products delivery chain. To address this issue, we propose a lightning network-blockchain FSM system. Our approach guarantees data authenticity by utilizing the technical characteristics of blockchain (e.g., tamper-resistant and traceability). We use lightning network to solve the throughput bottleneck issue in order to enable the proposed scheme adoptable in practice. The prototype of our approach has been evaluated and examined in our study.

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings
EditorsMeikang Qiu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages19-34
Number of pages16
ISBN (Print)9783030602475
DOIs
Publication statusPublished - 2020
Event20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020 - New York, United States
Duration: 2 Oct 20204 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12454 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020
Country/TerritoryUnited States
CityNew York
Period2/10/204/10/20

Keywords

  • Blockchain
  • Food Safety Management
  • Life cycle record
  • Lightning network
  • Throughput optimization
  • Transaction verification

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