Evaluating DAG-based blockchains for IoT

Liangrong Zhao, Jiangshan Yu

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

16 Citations (Scopus)

Abstract

Blockchain has been considered as the enabler to provide automated and trust-less Internet of things (IoT) services. However, legacy consensus mechanisms applied in most of the blockchain networks pose obstacles for deployment in IoT in respect of decentralization and scalability. The emerging Directed Acyclic Graph (DAG)-based models aim at delivering the benefits of blockchain without making compromise on performance. This paper gives a critical analysis on the two representative DAG-based models, IOTA and Hashgraph. In particular, we provide an insightful overview of the two blockchains, with their features and functionalities. We define desired criteria for evaluating these two blockchains, provide an in-depth analysis on the two systems, and identify open challenges IOTA and Hashgraph are facing for their application in IoT.

Original languageEnglish
Title of host publicationProceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019
EditorsJu Ren, Shadi Ibrahim, Xiaokang Zhou
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages507-513
Number of pages7
ISBN (Electronic)9781728127767, 9781728127774
ISBN (Print)9781728127781
DOIs
Publication statusPublished - 2019
EventIEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) 2019 - Rotorua, New Zealand
Duration: 5 Aug 20198 Aug 2019
Conference number: 18th
https://crow.org.nz/TrustCom2019 (Conference website)
https://ieeexplore.ieee.org/xpl/conhome/8883860/proceeding (Proceedings)

Publication series

NameProceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019
PublisherThe Institute of Electrical and Electronics Engineers, Inc.
Volume2019-January
ISSN (Print)2324-898X
ISSN (Electronic)2324-9013

Conference

ConferenceIEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) 2019
Abbreviated titleTrustCom 2019
Country/TerritoryNew Zealand
CityRotorua
Period5/08/198/08/19
Internet address

Keywords

  • blockchain
  • DAG
  • Hashgraph
  • IoT
  • IOTA

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