Radio frequency fingerprint extraction and identification method capable of resisting multipath interference

A radio frequency fingerprint and identification method technology, applied in the field of information security, can solve problems such as inaccurate identification, and achieve the effect of reducing the impact, improving the identification success rate, and realizing the extraction of radio frequency fingerprints.

Active Publication Date: 2021-03-26
SOUTHEAST UNIV
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology uses multiple channels for transmitting data between devices without causing any problems or disruptions during communication. It also extracts specific patterns from these transmissions through simulation techniques based on their properties such as time delays caused by various factors like wires' placement within buildings or other structures. These results help identify potential sources of electromagnetic radiation (EMI) emanating outside the building being protected against harmful Echoes.

Problems solved by technology

This patented technical problem addressed in this patents relates to how current methods used during wireless networks may identify potential attacks or other harmful activity from genuine users without being able to distinguish between them based solely upon their physical properties such as size, weight, etc., which could affect the accuracy of these techniques' results over time.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Radio frequency fingerprint extraction and identification method capable of resisting multipath interference
  • Radio frequency fingerprint extraction and identification method capable of resisting multipath interference
  • Radio frequency fingerprint extraction and identification method capable of resisting multipath interference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Such as figure 1 As shown, this embodiment provides a method for extracting and identifying radio frequency fingerprints that is resistant to multipath interference, which specifically includes the following steps:

[0031] S1. Collect wireless signals in a better environment, and normalize the received signal energy at the receiving end.

[0032] The whole system of this embodiment is as figure 2 As shown, the system uses the USRP N210 software radio platform to receive the radio frequency signal sent by the target device, and selects 54 ZigBee modules (CC2530) as the device to be identified, and receives the wireless signal emitted by the ZigBee wireless transmitter module at a relatively short distance. The purpose of choosing a shorter distance is to enhance the power of the first path as much as possible, so as to reduce the influence of multi-path fading and multiple wireless signals, and receive relatively pure original data that is not interfered by multi-path ch

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of information security, in particular to a radio frequency fingerprint extraction and identification method capable of resisting multipath interference, which comprises the following steps of: firstly, simulating and generating wireless channel multipath parameters of a scene based on the working scene of wireless equipment; aiming at a specific application scene of wireless communication equipment, different methods are selected to simulate a multipath channel, then, signals which are collected in a training stage and are slightly influenced by multipath of the wireless channel at a short distance are simulated through a generated wireless channel model to obtain signals which are simulated and received through different wireless channels, andthen, different wireless channel simulation receiving signals are used as a training set of a radio frequency fingerprint identification classifier for training the classifier, and finally, the classifier trained based on using different wireless channel simulation receiving signals in advance is used for carrying out radio frequency fingerprint classification identification on signals actually transmitted through a wireless channel, and the influence of a wireless multipath channel on the radio frequency fingerprint can be effectively resisted.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products