TY - JOUR
T1 - Differential Privacy-Based Blockchain for Industrial Internet-of-Things
AU - Gai, Keke
AU - Wu, Yulu
AU - Zhu, Liehuang
AU - Zhang, Zijian
AU - Qiu, Meikang
N1 - Publisher Copyright:
© 2005-2012 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - 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.
AB - 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.
KW - Blockchain
KW - Internet of Things (IoT)
KW - differential privacy
KW - edge computing
KW - privacy-preserving
KW - task allocation
UR - http://www.scopus.com/inward/record.url?scp=85081640107&partnerID=8YFLogxK
U2 - 10.1109/TII.2019.2948094
DO - 10.1109/TII.2019.2948094
M3 - Article
AN - SCOPUS:85081640107
SN - 1551-3203
VL - 16
SP - 4156
EP - 4165
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 6
M1 - 8874972
ER -