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As the world is undergoing rapid changes, the IoT device products and corresponding technologies are also developing rapidly. Therefore, security control of IoT devices should be carried out in order to unify the management of the vulnerabilities that exist. While the current mainstream research side of IoT device identification is to identify and predict devices using http messages, few studies and discussions have been conducted on IoT devices using FTP messages. A clustering tree based FTP message recognition method is proposed here, which first automatically extracts the keywords used for recognition in the messages, and then generates a binary clustering tree with training and test samples and calculates the similarity degree. The experimental results indicate that the method achieves high performance measures for identification, including 99.5% accuracy, 99.6% precision, 99.5% recall, and 99.5% F1 score.
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