inner-banner-bg

Advances in Neurology and Neuroscience(AN)

ISSN: 2690-909X | DOI: 10.33140/AN

Impact Factor: 1.12

A Lightweight, Label-Free Deep Autoencoder for Real-Time Anomaly Detection in Resource-Constrained IoT Network Traffic

Citation

Samuel Yao Sebuabe, Stephen Kofi Dotse, Harriet K. O. Lamptey, Ezekiel Okoe Annan, Martin Doe, Rebecca Amponsah, Ezra Tablaje Baabotin and Kwame Assa-Agyei

Sebuabe, S. Y., Dotse, S. K., Lamptey, H. K. O., Annan, E. O., Doe, M., et. al. (2026). A Lightweight, Label-Free Deep Autoencoder for Real-Time Anomaly Detection in Resource-Constrained IoT Network Traffic. Adv Neur Sci, 9(3), 01-16.

Abstract PDF