Outlet Title
Americas Conference on Information Systems (AMCIS)
Document Type
Conference Proceeding
Publication Date
Fall 8-15-2024
Abstract
Cyber threats and attacks disrupt and damages supply chain networks (SCNs), which are complex and interlinked. Current methods to predict and prevent cyberattacks are inadequate and ineffective. This research proposes an AI developmental systems framework (FAIDS) to protect SCNs from cyberattacks. The framework has four components: (1) an AI threat intelligence system; (2) an AI risk assessment system; (3) an AI decision support system; and (4) an AI learning and adaptation system. The framework is tested on a simulated retail SCN. The results show that the framework can predict and prevent cyberattacks and improve the network's resilience and security. The research provides a novel and comprehensive AI framework for cyber security (CS) and supply chain management. The research also discusses the framework's limitations and challenges and suggests future research.
Recommended Citation
Becklines, Lordt, "FAIDS: artificial intelligence developmental systems framework for predicting and preventing cyberattacks in supply chain networks" (2024). Research & Publications. 427.
https://scholar.dsu.edu/bispapers/427
Included in
Business Intelligence Commons, Computational Engineering Commons, Computer and Systems Architecture Commons, Digital Communications and Networking Commons, Management Information Systems Commons, Operations and Supply Chain Management Commons, Systems Science Commons, Technology and Innovation Commons