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Machine learning based cybersecurity defense at the age of Industry 4.0
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.
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Title of book
Studies in computational intelligenceVolume
971Series
Studies in computational intelligencePagination
355 - 368Publisher
Springer International PublishingPlace of publication
Cham, SwitzerlandPublisher DOI
ISSN
1860-949XeISSN
1860-9503ISBN-13
9783030720643Language
engPublication classification
B1 Book chapterEditor/Contributor(s)
Uttam Ghosh, Yassine Maleh, Mamoun Alazab, Al-Sakib Khan PathanUsage metrics
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