A Communication Protocol Recognition Method Based on AlexNet Deep Learning for Internet of Things
Jiawei Li, Hui Zhi, Zhiwei Zheng, Kui Tie, Xianpeng Wang · 2024
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.