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Erschienen in:
Artificial Intelligence for Smart Data Storage in Cloud-Based IoT Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

Trustworthy Machine Learning for Cloud-Based Internet of Things (IoT)

verfasst von : Saumya Yadav, Rakesh Chandra Joshi, Divakar Yadav

Erschienen in: Transforming Management with AI, Big-Data, and IoT

Verlag: Springer International Publishing

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Abstract

With the rise of new technology, the Internet of Things (IoT) undertakes a dynamic and central role in healthcare, smart homes, retail analytics, agricultural machinery, etc. Cloud computing serves a platform which is used as a base technology for IoT by allowing data transfer, storage, and accessing applications through the Internet. Association of cloud computing with IoT can provide countless opportunities but there is also drawback of various security threats. IoT with cloud computing is a distribution system which is vulnerable to various malicious attacks. Machine learning is a powerful tool for analysing the data and predicting normal or abnormal behaviour of connected IoT devices. It is a subsidiary of artificial intelligence which focuses on creating applications that learn from big data and generate results without being explicitly programmed. It leads to the transformation in security of IoT systems from a manageable communication between the devices to secure IoT-based systems.

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Vorheriges Kapitel Credit Card Fraud Detection Techniques Under IoT Environment: A Survey
Nächstes Kapitel A Novel αβEvolving Agent Architecture for Designing and Development of Agent-Based Software
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Metadaten
Titel
Trustworthy Machine Learning for Cloud-Based Internet of Things (IoT)
verfasst von
Saumya Yadav
Rakesh Chandra Joshi
Divakar Yadav
Copyright-Jahr
2022
Buch
Transforming Management with AI, Big-Data, and IoT

Print ISBN: 978-3-030-86748-5

Electronic ISBN: 978-3-030-86749-2

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-86749-2_9

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