A Communication Protocol Recognition Method Based on AlexNet Deep Learning for Internet of Things

Existing communication protocol recognition methods of Internet of Things (IoT) suffer from high operational difficulty and low recognition accuracy. Therefore, this paper proposes a Communication Protocol Recognition method based on AlexNet Deep Learning (CPR-ADL) for IoT. The CPR-ADL first converts the collected communication data sequences into time-domain waveform figures, and then uses the AlexNet deep learning model to classify and recognize the communication protocols of these time-domain waveform figures. Experimental results show that CPR-ADL can effectively recognize the communication protocols of IOT communication data with high recognition accuracy, which is beneficial for developing a IoT comprehensive testing instrument with communication protocol recognition capabilities.