Seismic-driven neural intelligence coupled with hybrid evolution strategy for accurate intrusion detection in cloud-IoT systems

Cloud-hosted Internet of Things (IoT) platforms are now the cornerstones of digital infrastructure in today's age, providing scalable, networked spaces for data sharing, processing, and automation. But their open and distributed nature has also made them attractive targets for almost any form o...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 81; no. 16; p. 1557
Main Authors:	Saravanan, T., Pugalenthi, R.
Format:	Journal Article
Language:	English
Published:	New York Springer US 12.11.2025 Springer Nature B.V
Subjects:	Algorithms Architecture Artificial intelligence Cloud computing Collaboration Compilers Computer Science Connectivity Construction industry Cybersecurity Data processing Deep learning Digital transformation Effectiveness Intelligence Internet of Things Interpreters Intrusion detection systems Machine learning Pattern recognition Processor Architectures Programming Languages Real time Security systems Software services Workloads Deep learning Cloud computing Feature analysis and classification Intrusion detection system (IDS) Security Internet of things (IoT)
ISSN:	1573-0484, 0920-8542, 1573-0484
Online Access:	Get full text
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