Title

Machine learning based cybersecurity defense at the age of Industry 4.0

Author Identifier

Mohiuddin Ahmed

ORCID : 0000-0002-4559-4768

Document Type

Book Chapter

Publication Title

Machine intelligence and data analytics for sustainable future smart cities

Publisher

Springer

School

School of Science / ECU Security Research Institute

RAS ID

36047

Comments

Vishavnath, S. K., Anwar, A., & Ahmed, M. (2021). Machine learning based cybersecurity defense at the age of industry 4.0. In U. Ghosh, Y. Maleh, M. Alazab & A. S. K. Pathan (Eds.), Machine intelligence and data analytics for sustainable future smart cities (pp. 355-368). Springer, Cham. https://doi.org/10.1007/978-3-030-72065-0_19

Abstract

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.

DOI

10.1007/978-3-030-72065-0_19

Access Rights

subscription content

Research Themes

Securing Digital Futures

Priority Areas

Artificial intelligence and autonomous systems

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