SecMa: A Novel Multimodal Autoencoder Framework for Encrypted IoT Traffic Analysis and Attack Detection

The exponential growth of encrypted Internet of Things (IoT) traffic has introduced significant cybersecurity challenges, including the complexity of analyzing encrypted payload data, managing heterogeneous device behavior, and addressing resource constraints. Traditional methods achieve low detecti...

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Bibliographic Details

Published in:	Engineering, technology & applied science research Vol. 15; no. 3; pp. 23020 - 23026
Main Authors:	Ravi, V., Poornima, A. S.
Format:	Journal Article
Language:	English
Published:	04.06.2025
ISSN:	2241-4487, 1792-8036
Online Access:	Get full text
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