TY - GEN
T1 - Transparency-privacy Trade-off in Blockchain-Based Supply Chain in Industrial Internet of Things
AU - Islam, Muhammad
AU - Rehmani, Mubashir Husain
AU - Chen, Jinjun
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2022
Y1 - 2022
N2 - The integration of blockchain and Industrial Internet of Things (IIoT) results in a new model of supply chain in which blockchain provides common platform to record the data whereas IIoT facilitates connectivity of the devices. The temper-proof record, traceability, and verification of each step (transparency) from manufacturing to final availability of the product is made possible through blockchain which results in a transparent supply chain. However, the high-level transparency also increases the risk of disclosure of business-related and personal information (minimum privacy) such as business secrets, intellectual property, and special incentives to adversaries. Consequently, a trade-off between transparency and privacy is established. Therefore, this work proposes a blockchain-based supply chain management in the context of IIoT known as SM-IIoT which discusses this transparency-privacy trade-off. Furthermore, the trade-off problem is turned into a Game in which the participants act as players whereas the transparency and privacy leakage are the payoff and loss, respectively. Consequently, the players compete to maximize their payoffs but minimize their individual losses due to privacy leakage. Nash equilibrium gives the solution for the Game which optimizes the payoffs of the players (e.g., maximum transparency and minimum privacy leakage). The scenario is implemented through Hyperledger fabric (HF) blockchain. Moreover, the results suggested that the proposed SM-IIoT outperforms the game theory based privacy preserving analysis approach in big data (GB-PPABD) in terms of transparency. Furthermore, the comparison with other similar works revealed that SM-IIoT owns the key attributes of the supply chain including transparency-privacy trade-off, fairness, and competitive behavior modeling of the participants.
AB - The integration of blockchain and Industrial Internet of Things (IIoT) results in a new model of supply chain in which blockchain provides common platform to record the data whereas IIoT facilitates connectivity of the devices. The temper-proof record, traceability, and verification of each step (transparency) from manufacturing to final availability of the product is made possible through blockchain which results in a transparent supply chain. However, the high-level transparency also increases the risk of disclosure of business-related and personal information (minimum privacy) such as business secrets, intellectual property, and special incentives to adversaries. Consequently, a trade-off between transparency and privacy is established. Therefore, this work proposes a blockchain-based supply chain management in the context of IIoT known as SM-IIoT which discusses this transparency-privacy trade-off. Furthermore, the trade-off problem is turned into a Game in which the participants act as players whereas the transparency and privacy leakage are the payoff and loss, respectively. Consequently, the players compete to maximize their payoffs but minimize their individual losses due to privacy leakage. Nash equilibrium gives the solution for the Game which optimizes the payoffs of the players (e.g., maximum transparency and minimum privacy leakage). The scenario is implemented through Hyperledger fabric (HF) blockchain. Moreover, the results suggested that the proposed SM-IIoT outperforms the game theory based privacy preserving analysis approach in big data (GB-PPABD) in terms of transparency. Furthermore, the comparison with other similar works revealed that SM-IIoT owns the key attributes of the supply chain including transparency-privacy trade-off, fairness, and competitive behavior modeling of the participants.
KW - Blockchain
KW - Game Theory
KW - IIoT
KW - Industrial data sharing
KW - Privacy
KW - Supply chain
KW - Tradeoff
KW - Transparency
UR - http://www.scopus.com/inward/record.url?scp=85132427846&partnerID=8YFLogxK
U2 - 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00174
DO - 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00174
M3 - Conference contribution
AN - SCOPUS:85132427846
T3 - 2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
SP - 1123
EP - 1130
BT - 2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 December 2021 through 22 December 2021
ER -