Review 4.0 Technologies in Supply Chain Cybersecurity
Hiep Cong Pham () and
Minh Nhat Nguyen
Additional contact information
Hiep Cong Pham: RMIT University Vietnam
Minh Nhat Nguyen: RMIT University Vietnam
Chapter Chapter 11 in Transforming Logistics in a Developing Nation, 2024, pp 323-345 from Springer
Abstract:
Abstract The contemporary landscape of logistics is characterized by escalating complexity, driven by factors such as global supply chain (SC) integration, diverse modes of transportation, and ever-evolving customer demands. Advances in technology introduce new challenges, especially in the cybersecurity arena, where the sophistication of cyber threats keeps pace with technological advancements. On the other hand, these technological developments present unprecedented opportunities for enhancing security measures in logistics. The advent of Industry 4.0 technologies such as Blockchain, Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Analytics (BDA) emerges as a beacon of hope, offering substantial contributions to enhancing cybersecurity measures in logistics. This chapter conducts a comprehensive review of existing literature, focusing on strategies that leverage these technologies to bolster cybersecurity in SC. Firstly, it identifies key research themes surrounding the impact of technological advancements, specifically Blockchain, AI, IoT, and BDA on SC cybersecurity. Secondly, it explores the practical applications and benefits of these technologies in reinforcing cybersecurity measures within logistics operations. Finally, the chapter proposes potential future research directions, paving the way for continued exploration and innovation in safeguarding SC against cyber threats.
Keywords: Supply chain security risk; Blockchain security; Data analytics risk; IoT security; AI-enabled risk (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-7819-5_11
Ordering information: This item can be ordered from
http://www.springer.com/9789819778195
DOI: 10.1007/978-981-97-7819-5_11
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().