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Machine learning based cybersecurity defense at the age of Industry 4.0

Version 2 2024-06-05, 04:15
Version 1 2021-06-25, 08:25
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posted on 2024-06-05, 04:15 authored by SK Vishavnath, Adnan AnwarAdnan Anwar, M Ahmed
Industry 4.0 is mainly recognized as the digital transformation of the industrial sector which is driven through machine learning and artificial intelligence. It includes the historical collection of information, the capture of live data via sensors, data aggregation and connectivity between routing, gateways and other protocols, PLC integration, the dashboard for analysis and monitoring. The convergence of Machine learning (ML) and Artificial Intelligence (AI) has overcome data integration and decision-making challenges with the adoption of Industry 4.0. This article justifies the context and relevance of data sharing in the industrial sectors and the cyber threats in industry 4.0 and also provides the preventive techniques used via AI and ML. In addition, this book chapter illustrates real use cases and potential prospects for both technologies.

History

Volume

971

Pagination

355-368

ISSN

1860-949X

eISSN

1860-9503

ISBN-13

9783030720643

Language

eng

Publication classification

B1 Book chapter

Editor/Contributor(s)

Ghosh U, Maleh Y, Alazab M, Khan Pathan A-S

Publisher

Springer International Publishing

Place of publication

Cham, Switzerland

Title of book

Studies in computational intelligence

Series

Studies in computational intelligence

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