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Lightweight IoT Malware Detection Solution Using C by vuhoang030202 is a document available to read on EtoBox.

What is Lightweight IoT Malware Detection Solution Using C about?

The document presents a lightweight IoT malware detection solution using Convolutional Neural Networks (CNN) to identify malicious behavior in IoT devices. It highlights the challenges of IoT security, including the lack of standardized security measures and the need for effective malware detection methods that do not compromise device performance. The proposed system aims to enhance IoT security by utilizing a centralized node for monitoring and classifying network traffic, thus ensuring safer coexistence

Author

vuhoang030202

Language

EN