Preprint 2026 Open Access

A lightweight, label-free deep autoencoder for real-time anomalydetection in resource-constrained IoT network traffic

Samuel Yao Sebuabe, Stephen Kofi Dotse, Harriet Koshie Lamptey, Ezekiel Annan Okoe, Kwame Assa-Agyei, Martin Doe, Rebecca Adwoa Amponsah

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DOI: 10.21203/rs.3.rs-10100728/v1
Faculty: Department of Computing Sciences and Engineering
Research area: Computing & Information Systems

VVU authors

Samuel Yao Sebuabe Department of Computing Sciences and Engineering Ezekiel Annan Okoe Department of Computing Sciences and Engineering Martin Doe Department of Computing Sciences and Engineering Amponsah Rebecca Valley View University Rebecca Adwoa Amponsah Department of Computing Sciences and Engineering

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