Internet of Things device flow sequence fingerprint feature extraction method

• Main Authors: LI JIANFENG, LIANG SHAOYI, QU JIAN, LIU DONGJIN, LIU ZHAOLI, MA XIAOBO
• Format: Patent
• Language: Chinese; English
• Published: 26.05.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; HANDLING RECORD CARRIERS; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The invention discloses an Internet of Things device flow sequence fingerprint feature extraction method. Flow fingerprint features of the Internet of Things device are extracted and applied to identification of the Internet of Things device, and the method is a primary key technology for access supervision and security monitoring of the Internet of Things device. According to the invention, by analyzing the flow samples of the Internet of Things device, the most valuable flow sequence fingerprint features are extracted according to the sequential relationship between data packets, and featureinput is provided for the classification model of the Internet of Things device. According to the method, the data packet sequence fingerprint features of the given Internet of Things device are fully mined, and the method is suitable for automatically extracting the flow fingerprint features of the Internet of Things device. 本发明公开了一种物联网设备流量序列指纹特征提取方法。提取物联网设备的流量指纹特征，将其应用于物联网设备的识别，是物联网设备接入监管和安全监控的首要关键技术。通过分析物联网设备流量样本，本发明根