Explainable Articial Intelligence for Cybersecurity in Smart Manufacturing

Ta Phuong Bac, Do Thu Ha, Kim Duc Tran () and Kim Phuc Tran
Additional contact information
Ta Phuong Bac: Dong A University
Do Thu Ha: University of Lille, ENSAIT, ULR 2461 - GEMTEX - Génie et Matériaux Textiles
Kim Duc Tran: Dong A University
Kim Phuc Tran: University of Lille, ENSAIT, ULR 2461 - GEMTEX - Génie et Matériaux Textiles

A chapter in Artificial Intelligence for Smart Manufacturing, 2023, pp 199-223 from Springer

Abstract: Abstract Industry 4.0 was first presented in 2011 and has revolutionized manufacturing in enormous applications by integrating artificial intelligence (AI), the Internet of Things (IoT), cloud computing, and other leading technologies. As technology continues to grow and expand, the concept of a new Industry 5.0 paradigm could be investigated. Industry 5.0 aims to transform the manufacturing sector into a more sustainable, human-centric, and resilient manufacturing industry. In this chapter, we demonstrate research for Cybersecurity in Smart Manufacturing in Industry 5.0 by leveraging AI and Explainable Artificial Intelligence (XAI) techniques. This chapter especially presents several essential perspectives for a potential approach of XAI to enable Smart manufacturing in the Industrial Revolution 5.0. There also is an illustrative example demonstrating the XAI approach for anomaly detection in the cyber network of an Industrial Control System in the Smart Manufacturing context.

Keywords: Explainable artificial intelligence; Cybersecurity; Smart manufacturing; Internet of things; Industrial control systems (search for similar items in EconPapers)
Date: 2023
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:ssrchp:978-3-031-30510-8_10

Ordering information: This item can be ordered from
http://www.springer.com/9783031305108

DOI: 10.1007/978-3-031-30510-8_10

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().