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An Efficient Privacy and Anonymity Setup on Hyperledger Fabric for Blockchain-Enabled Internet of Things (IoT) Devicesoa mark
  • Saad, Muhammad ;
  • Haidery, Saqib Ali ;
  • Bhandari, Aavash ;
  • Bhutta, Muhammad Raheel ;
  • Park, Dong Joo ;
  • Chung, Tae Sun
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Publication Year
2024-07-01
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Electronics (Switzerland), Vol.13
Keyword
anonymityblockchainHyperledgerIoTprivacy
All Science Classification Codes (ASJC)
Control and Systems EngineeringSignal ProcessingHardware and ArchitectureComputer Networks and CommunicationsElectrical and Electronic Engineering
Abstract
The rise in IoT (Internet of Things) devices poses a significant security challenge. Maintaining privacy and ensuring anonymity within the system is a sought-after feature with inevitable trade-offs, such as scalability and increased complexity, making it incredibly challenging to handle. To tackle this, we introduce our proposed work for managing IoT devices using Hyperledger Fabric. We integrated our system on the blockchain with a closed-circuit television (CCTV) security camera fixed at a rental property. The CCTV security camera redirects its feed whenever a new renter walks in. We have introduced the web token for authentication from the renter to the owner. Our contributions include an efficient framework architecture using key invalidation scenarios and token authentication, a novel chain code algorithm, and stealth addresses with modified ring signatures. We performed different analyses to show the system’s throughput and latency through stress testing. We have shown the significant advantages of the proposed architectures by comparing similar existing schemes. Our proposed scheme enhances the security of blockchain-enabled IoT devices and mitigates the single point of failure issue in the existing scheme, providing a robust and reliable solution. Our future work includes scaling it up to cater to the needs of the healthcare system.
ISSN
2079-9292
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/34324
DOI
https://doi.org/10.3390/electronics13132652
Fulltext

Type
Article
Funding
This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) under the Artificial Intelligence Convergence Innovation Human Resources Development (IITP-2024-RS-2023-00255968) grant and the ITRC (Information Technology Research Center) support program (IITP-2021-0-02051) funded by the Korea government (MSIT). Additionally, this work was supported by the BK21 FOUR program of the National Research Foundation of Korea funded by the Ministry of Education (NRF5199991014091).
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