Feature extraction from I/Q signals for ZigBee devices identification-Reference-Cited by-同舟云学术

Feature extraction from I/Q signals for ZigBee devices identification

Published:2021-12-01 Issue:12 Volume:10 Page:942-947
ISSN:2187-0136
Container-title:IEICE Communications Express
language:en
Short-container-title:IEICE ComEX

Author:

Shinoda Ryota¹,Yoshitani Ibuki¹,Miyaji Yuichi¹,Uehara Hideyuki¹

Affiliation:

1. Dept. of Electrical and Electronic Information Engineering, Toyohashi University of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/comex/10/12/10_2021COL0039/_pdf

Reference10 articles.

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2. [2] B.R. Koti and G.R. Kumar, “Information leakage detection and protection of leaked information by using the MAC-IP binding technique,” International Journal of Engineering & Technology, vol. 7, no. 1.7, pp. 230-235, Feb. 2018. DOI: 10.14419/ijet.v7i1.7.10700

3. [3] X. Wang, P. Hao, and L. Hanzo, “Physical-layer authentication for wireless security enhancement: current challenges and future developments,” IEEE Commun. Mag., vol. 54, no. 6, pp. 152-158, June 2016. DOI: 10.1109/mcom.2016.7498103

4. [4] T. Hiraoka, Y. Miyaji, and H. Uehara, “Device identification based on distortion of power amplifiers excited by swept sine,” IEICE Commun. Express, vol. 9, no. 7, pp. 306-311, 2020. DOI: 10.1587/comex.2020xbl0042

5. [5] T. Nakada, R. Shinoda, Y. Miyaji, and H. Uehara, “Device identification based on RF circuit imperfection,” IEICE Tech. Rep., CS2020-31, pp. 61-66, July 2020.

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