Secure Automation Frameworks for Smart Manufacturing Using Blockchain-Assisted Traceability
Keywords:
Smart Manufacturing, Secure Automation, Blockchain Technology, Traceability, Industry 4.0, Smart Contracts, Cybersecurity, Decentralized SystemsAbstract
Smart manufacturing systems depend on automation and machine interconnection and real-time data exchange to achieve their goals of enhancing operational efficiency and boosting production output. The system's wide-ranging connections lead to significant challenges which disrupt security systems and data protection measures and create problems for different stakeholders to establish system trustworthiness. Centralized security systems which protect methods through their centralized security systems fail to prevent unauthorized access while they fail to safeguard data from unauthorized alterations and track operations in industrial environments. Blockchain technology maintains secure data storage through its permanent record system and cryptographic security features which make it an effective solution to this problem. Smart manufacturing research develops a secure automation system which combines blockchain-based traceability systems with industrial automation technology. The system protects data during transmission while it generates permanent records of all transactions which allow complete visibility of manufacturing operations throughout the supply chain. The proposed system uses smart contracts to perform automated verification of compliance requirements and control system access and validate operational processes without needing any central governing body. The system enables organizations to work together better because it establishes trust between all parties while safeguarding their business operations. The research demonstrates that blockchain-based traceability systems provide enhanced cybersecurity protections which create accountable systems that enable automated processes to function in modern manufacturing environments which use Industry 4.0 technologies.
References
Nakamoto, S., Bitcoin: A Peer-to-Peer Electronic Cash System, 2008. Available at: https://bitcoin.org/bitcoin.pdf
Jebessa, K. D., “Decentralization of Power and Local Autonomy in the Ethiopian Federal System: A Look at Two Decades of Experiment,” Urban and Regional Planning, vol. 1, no. 3, 2016, pp. 45–50, doi: 10.11648/j.urp.20160103.11.
Antonopoulos, A. M., Mastering Bitcoin: Unlocking Digital Cryptocurrencies, O’Reilly Media, 2015.
Lee, E. A., “Cyber Physical Systems: Design Challenges,” 11th IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC), 2008, pp. 363–369.
Acatech – National Academy of Science and Engineering, Recommendations for Implementing the Strategic Initiative Industry 4.0, Germany, 2013.
Deloitte, Blockchain in the Automotive Industry: Accelerating Technology Disruption, Deloitte Insights, 2018. Available at: https://www2.deloitte.com
Pinheiro, P., and Barbosa, R., “Highlights of Practical Applications of Heterogeneous Multi-Agent Systems,” PAAMS 2014, Lecture Notes in Computer Science, vol. 430, Springer, 2014, pp. 149–160, doi:10.1007/978-3-319-07767-3.
Downloads
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




