| Title |
Trustworthy data-driven networked production for customer-centric plants |
| ID_Doc |
67392 |
| Authors |
Preuveneers, D; Joosen, W; Ilie-Zudor, E |
| Title |
Trustworthy data-driven networked production for customer-centric plants |
| Year |
2017 |
| Published |
Industrial Management & Data Systems, 117, 10 |
| DOI |
10.1108/IMDS-10-2016-0419 |
| Abstract |
Purpose - Industry 4.0 envisions a future of networked production where interconnected machines and business processes running in the cloud will communicate with one another to optimize production and enable more efficient and sustainable individualized/mass manufacturing. However, the openness and process transparency of networked production in hyperconnected manufacturing enterprises pose severe cyber-security threats and information security challenges that need to be dealt with. The paper aims to discuss these issues. Design/methodology/approach - This paper presents a distributed trust model and middleware for collaborative and decentralized access control to guarantee data transparency, integrity, authenticity and authorization of dataflow-oriented Industry 4.0 processes. Findings - The results of a performance study indicate that private blockchains are capable of securing IoT-enabled dataflow-oriented networked production processes across the trust boundaries of the Industry 4.0 manufacturing enterprise. Originality/value - This paper contributes a decentralized identity and relationship management for users, sensors, actuators, gateways and cloud services to support processes that cross the trust boundaries of the manufacturing enterprise, while offering protection against malicious adversaries gaining unauthorized access to systems, services and information. |
| Author Keywords |
Internet; Information flow; Network organization; Blockchains; Inter-organizational trust; Networked production |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000423366000009 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Industrial |
| Research Area |
Computer Science; Engineering |
| PDF |
https://lirias.kuleuven.be/bitstream/123456789/599802/1/paper.pdf
|