Abstract

With the increase in IoT (Internet of Things) devices comes an inherent challenge of security. In the world today, privacy is the prime concern of every individual. Preserving one’s privacy and keeping anonymity throughout the system is a desired functionality that does not come without inevitable trade-offs like scalability and increased complexity and is always exceedingly difficult to manage. The challenge is keeping confidentiality and continuing to make the person innominate throughout the system. To address this, we present our proposed architecture where we manage IoT devices using blockchain technology. Our proposed architecture works on and off blockchain integrated with the closed-circuit television (CCTV) security camera fixed at the rental property. In this framework, the CCTV security camera feed is redirected towards the owner and renter based on the smart contract conditions. One entity (owner or renter) can see the CCTV security camera feed at one time. There is no third-party dependence except for the CCTV security camera deployment phase. Our contributions include the proposition of framework architecture, a novel smart contract algorithm, and the modification to the ring signatures leveraging an existing cryptographic technique. Analyses are made based on different systems’ security and key management areas. In an empirical study, our proposed algorithm performed better in key generation, proof generation, and verification times. By comparing similar existing schemes, we have shown the proposed architectures’ advantages. Until now, we have developed this system for a specific area in the real world. However, this system is scalable and applicable to other areas like healthcare monitoring systems, which is part of our future work.

Details

Title
A Framework for Enhancing Privacy and Anonymity in Blockchain-Enabled IoT Devices
Author
Saad, Muhammad; Bhutta, Muhammad; Kim, Jongik; Tae-Sun, Chung
Pages
4263-4282
Section
ARTICLE
Publication year
2024
Publication date
2024
Publisher
Tech Science Press
ISSN
1546-2218
e-ISSN
1546-2226
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3199833357
Copyright
© 2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.