A high performance hybrid LSTM CNN secure architecture for IoT environments using deep learning

A high performance hybrid LSTM CNN secure architecture for IoT environments using deep learning

Abstract The growing use of IoT has brought enormous safety issues that constantly demand stronger hide from increasing risks of intrusions. This paper proposes an Advanced LSTM-CNN Secure Framework to optimize real-time intrusion detection in the IoT context. It adds LSTM layers, which allow for te...

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Bibliographic Details
Main Authors: Priyanshu Sinha, Dinesh Sahu, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Vivek Kumar Pandey
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
IoT security
Deep learning
Hybrid LSTM-CNN
Intrusion detection
Cybersecurity
Threat detection
Online Access:https://doi.org/10.1038/s41598-025-94500-5
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https://doi.org/10.1038/s41598-025-94500-5

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