CRLGApr 20, 2023

Cyber Security in Smart Manufacturing (Threats, Landscapes Challenges)

arXiv:2304.10180v12 citationsh-index: 4
Originality Synthesis-oriented
AI Analysis

It identifies cybersecurity risks for smart manufacturing industries, but is incremental as it reviews existing models without proposing new solutions.

This paper conducts a literature survey on cybersecurity threats, attack vectors, and challenges in smart manufacturing, addressing vulnerabilities in the digital thread that integrates IT and OT systems.

Industry 4.0 is a blend of the hyper-connected digital industry within two world of Information Technology (IT) and Operational Technology (OT). With this amalgamate opportunity, smart manufacturing involves production assets with the manufacturing equipment having its own intelligence, while the system-wide intelligence is provided by the cyber layer. However Smart manufacturing now becomes one of the prime targets of cyber threats due to vulnerabilities in the existing process of operation. Since smart manufacturing covers a vast area of production industries from cyber physical system to additive manufacturing, to autonomous vehicles, to cloud based IIoT (Industrial IoT), to robotic production, cyber threat stands out with this regard questioning about how to connect manufacturing resources by network, how to integrate a whole process chain for a factory production etc. Cybersecurity confidentiality, integrity and availability expose their essential existence for the proper operational thread model known as digital thread ensuring secure manufacturing. In this work, a literature survey is presented from the existing threat models, attack vectors and future challenges over the digital thread of smart manufacturing.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes