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Explainable Articial Intelligence for Cybersecurity in Smart Manufacturing

In: Artificial Intelligence for Smart Manufacturing

Author

Listed:
  • 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)

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.

Suggested Citation

  • Ta Phuong Bac & Do Thu Ha & Kim Duc Tran & Kim Phuc Tran, 2023. "Explainable Articial Intelligence for Cybersecurity in Smart Manufacturing," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Artificial Intelligence for Smart Manufacturing, pages 199-223, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-30510-8_10
    DOI: 10.1007/978-3-031-30510-8_10
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