Extraction Method of Wireless Frame Interval Feature

Abstract

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 analysis and experimental verification results,the frame interval of the beacon can be used to identify the wireless routing devices and distinguish different types of wireless routing devices effectively.The proposed method does not require high-precision sampling to obtain transient signals,is not susceptible to modulation mode,and does not require analyzing protocol,so it is very suitable for individual identification of wireless network equipment in communication countermeasures and network security.

Keywords

• wireless feature|network device|individual identification|frame behavior