Fingerprint Extraction Based On Frame Interval For Wireless Network Devices

EasyChair Preprint 1692

Abstract

Traditional communication encryption methods can effectively protect our communication security in some extent, but in practical use, the vulnerabilities of the traditional methods can be cracked , thus results in information leakages. So it is necessary to deeply research the individual characteristics of wireless network devices. This paper proposes a method which takes frame interval as a fingerprint feature to represent different wireless devices. The experimental results show that the proposed method is effective for the identification of IEEE802.11 wireless network devices, and the average recognition rate reaches 95%.

Keyphrases: CSMA/CA, Frame Interval, IEEE802.11

@booklet{EasyChair:1692,
  author    = {Zhibin Yu and Shuangqiu Li and Ruilun Zong},
  title     = {Fingerprint Extraction Based On Frame Interval For Wireless  Network Devices},
  howpublished = {EasyChair Preprint 1692},
  year      = {EasyChair, 2019}}