A Privacy-Preserving Blockchain Scheme for the Reliable Exchange of IoT Data

Mnar Alnaghes, Nickolas Falkner, Hong Shen

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

Abstract

The Internet of Things (IoT) system has been claimed to deliver comfort and a more satisfactory lifestyle. The data flows that connect IoT sub-systems are critical to the success of the whole system. However, there are concerns about how privacy-preserving these flows are. Most existing single-server architecture solutions to the privacy problem have limitations regarding user privacy and anonymity. They may lead to revealing users’ regular activities and affects their integrity and confidentiality. Despite Blockchain technology is suitable for improving IoT systems’ security and privacy, there is a lack of privacy protection in blockchain when accessing personal user data due to privacy threats from internal parties. Thus, we aim to build a protected environment for users to exchange data and maintain privacy with an efficient authentication solution. We consider Blockchain technology using Elliptic Curve Integrated Encryption Scheme (ECIES) and message authentication regulation to enhance security and privacy for the transmitted data. This provides reliable auditing of the users’ access history and efficient authentication within the system. We evaluate the outcomes to show the usefulness of this approach, targeting IoT data, and compare it with current work in the field.

Original languageEnglish
Title of host publicationParallel and Distributed Computing, Applications and Technologies - Proceedings of PDCAT 2023
EditorsJi Su Park, Hiroyuki Takizawa, Hong Shen, James J. Park
PublisherSpringer Science and Business Media Deutschland GmbH
Pages260-271
Number of pages12
ISBN (Print)9789819982103
DOIs
Publication statusPublished - 2024
Event24th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2023 - Jeju, Korea, Republic of
Duration: 16 Aug 202318 Aug 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1112 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference24th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2023
Country/TerritoryKorea, Republic of
CityJeju
Period16/08/2318/08/23

Keywords

  • Authentication
  • Blockchain
  • Encryption
  • IoT
  • Privacy
  • Security

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