Informatics and Engineering Systems Faculty Publications and Presentations
Document Type
Book Chapter
Publication Date
9-2022
Abstract
Supply Chain Management (SCM) systems provide a digital platform for the supply chain organizations to communicate and exchange information. In the food industry, SCMs provide the essential software components for monitoring food transportation and product handling. However, contemporary SCM systems suffer from non-traceability, non-interoperability and poor resiliency. Global food supply chains are at risks from cyber threats, which will lead to food shortages and poor quality control. In this paper, we present ChainSCAN, a three-layer design of a fully decentralized and blockchain-based SCM system that protects data security, privacy, and remove single point of failures of traditional SCMs. In addition, ChainSCAN provides a transparent environment to protect physical security of assets from stolen and record all activities of the food supply chain. ChainSCAN leverages four smart contracts to automate and regulate interactions of supply chain participants with the ledger, which can enforce the best practices among all supply chain organizations. Furthermore, ChainSCAN contains a notification system that automatically alerts consumers about food recalls and/or potential misbehaviors.
Recommended Citation
Castillo, J., Barba, K., Chen, Q. (2022). ChainSCAN: A Blockchain-Based Supply Chain Alerting Framework for Food Safety. In: Su, C., Sakurai, K., Liu, F. (eds) Science of Cyber Security. SciSec 2022. Lecture Notes in Computer Science, vol 13580. Springer, Cham. https://doi.org/10.1007/978-3-031-17551-0_1
First Page
3
Last Page
20
Publication Title
Science of Cyber Security
DOI
10.1007/978-3-031-17551-0_1
Comments
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
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