Extraction Method of Wireless Frame Interval Feature

• Published in: Ji suan ji ke xue Vol. 48; no. 9; pp. 286 - 291
• Main Author: LI Shuang-qiu, YU Zhi-bin, YANG Ling, ZHANG Yi-fang, LIU Li-ping
• Format: Journal Article
• Language: Chinese
• Published: Editorial office of Computer Science 01-09-2021
• Subjects: wireless feature|network device|individual identification|frame behavior
• ISSN: 1002-137X
• DOI: 10.11896/jsjkx.201100130

Aiming at the drawbacks that traditional individual identification algorithms for wireless network device are low accuracy,time-consuming and analyzing protocol,in this paper,the wireless frame interval feature extraction algorithm from the perspective of wireless frame behavior is proposed.Based on the generation mechanism of frame interval feature,the frame interval feature extraction algorithms for single-target wireless devices and multi-target wireless devices are studied,and the effectiveness of the algorithms are verified by taking the wireless router as an example.The experimental results show that when only a single device is turned on at a time experimental platform which is composed of the same model and different type wireless devices,the average recognition rate of the proposed method is 94%,which is nearly 10% higher than that of the traditional methods.When multiple wireless devices are turned on at the same time,the recognition rate of the method in this paper also reaches 90%.From theoretical