Enhancing Cybersecurity in IoT & IIoT: A Machine Learning Approach for Anomaly Detection

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.net/journal/jsea
E-mail: [email protected]

Citations

Journals Menu

Aims & Scope
Articles
Archive
Editorial Board
Publication Fees
Indexing

"Enhancing Cybersecurity in IoT & IIoT: A Machine Learning Approach for Anomaly Detection"
written by Mohamed Koroma, Alhaji Mansaray, Yahya Labay Kamara, Chernor Gurasiue Jalloh, Ibrahim Sorie Ojasy Bah,
published by Journal of Software Engineering and Applications, Vol.18 No.6, 2025

has been cited by the following article(s):

Google Scholar
CrossRef

No relevant information.

	[email protected]
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

[1]	A review of artificial intelligence-based intrusion detection in industrial internet of things Discover Internet of Things, 2026 DOI:10.1007/s43926-026-00285-y

[2]	Design and development of a machine-vision-based positioning compensation system for industrial robots Discover Applied Sciences, 2025 DOI:10.1007/s42452-025-08196-3

Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

Journals Menu

Guidelines & Policies

Home

About SCIRP

Service

Policies