A Blockchain-Based IoT Data Management System for Secure and Scalable Data Sharing

Yawei Wang, Chenxu Wang, Xiapu Luo, Kaixiang Zhang, Huizhong Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

At present, the centralized architecture for the Internet of Things (IoT) data management faces the risks of data leakage, single-point failure, and vulnerability to malicious attacks. Recently, many researchers and security analysts are focusing on the blockchain technology to solve the security and privacy issues of the IoT data management. However, current blockchain technologies are unable to meet the highly concurrent IoT data transactions and the fast expansion of IoT devices due to the decentralized architecture. Moreover, there is a lack of useful solutions for effective data sharing between public and private networks, and networks with different services (e.g., smart grid and intelligent transportation). In this paper, we propose a decentralized data access model for IoT data storage and sharing based on the FISCO-BCOS blockchain. In the model, we divide the IoT devices that handle different services into different set-chains. These set-chains share data with each other through an elaborate access control model. Experimental results show that the proposed model fits the characteristics of the IoT data management, guaranteeing the privacy and security requirements with better scalability. Our model can be used as a solution for smart cities.

Original languageEnglish
Title of host publicationNetwork and System Security - 13th International Conference, NSS 2019, Proceedings
EditorsJoseph K. Liu, Xinyi Huang
PublisherSpringer
Pages167-184
Number of pages18
ISBN (Print)9783030369378
DOIs
Publication statusPublished - 1 Jan 2019
Event13th International Conference on Network and System Security, NSS 2019 - Sapporo, Japan
Duration: 15 Dec 201918 Dec 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11928 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Network and System Security, NSS 2019
CountryJapan
CitySapporo
Period15/12/1918/12/19

Keywords

  • Access control
  • Blockchain
  • Data management
  • IoT

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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