Semantic Scholar Open Access 2020 188 sitasi

Differential Privacy-Based Blockchain for Industrial Internet-of-Things

Keke Gai Yulu Wu Liehuang Zhu Zi-jian Zhang Meikang Qiu

Abstrak

Contemporarily, two emerging techniques, blockchain and edge computing, are driving a dramatical rapid growth in the field of Internet-of-Things (IoT). Benefits of applying edge computing is an adoptable complementarity for cloud computing; blockchain is an alternative for constructing transparent secure environment for data storage/governance. Instead of using these two techniques independently, in this article, we propose a novel approach that integrates IoT with edge computing and blockchain, which is called blockchain-based Internet of Edge model. The proposed model, designed for a scalable and controllable IoT system, sufficiently exploits advantages of edge computing and blockchain to establish a privacy-preserving mechanism while considering other constraints, such as energy cost. We implement experiment evaluations running on Ethereum. According to our data collections, the proposed model improves privacy protections without lowering down the performance in an energy-efficient manner.

Topik & Kata Kunci

Computer Science

Penulis (5)

Keke Gai

Yulu Wu

Liehuang Zhu

Zi-jian Zhang

Meikang Qiu

Format Sitasi

APA MLA BibTeX

Gai, K., Wu, Y., Zhu, L., Zhang, Z., Qiu, M. (2020). Differential Privacy-Based Blockchain for Industrial Internet-of-Things. https://doi.org/10.1109/TII.2019.2948094

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 188×
Sumber Database: Semantic Scholar
DOI: 10.1109/TII.2019.2948094
Akses: Open Access ✓