Robust CNN-Based Threat Detection in SDN-Enabled IoT Networks

Key Points

• Threat detection accuracy reached 95%, highlighting the effectiveness of the approach.
• Robust CNN-based model demonstrated superior performance in identifying threats within the network.
• Assessment using machine learning algorithms across various IoT network scenarios shows its adaptability.
• Potential applications in enhancing security protocols within IoT environments address rising concerns.