Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy
Radio frequency fingerprint (RF fingerprint) extraction is a technology that can identify the unique radio transmitter at the physical level, using only external feature measurements to match the feature library. RF fingerprint is the reflection of differences between hardware components of transmit...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2017/1538728 |
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| _version_ | 1849405377918009344 |
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| author | Shouyun Deng Zhitao Huang Xiang Wang Guangquan Huang |
| author_facet | Shouyun Deng Zhitao Huang Xiang Wang Guangquan Huang |
| author_sort | Shouyun Deng |
| collection | DOAJ |
| description | Radio frequency fingerprint (RF fingerprint) extraction is a technology that can identify the unique radio transmitter at the physical level, using only external feature measurements to match the feature library. RF fingerprint is the reflection of differences between hardware components of transmitters, and it contains rich nonlinear characteristics of internal components within transmitter. RF fingerprint technique has been widely applied to enhance the security of radio frequency communication. In this paper, we propose a new RF fingerprint method based on multidimension permutation entropy. We analyze the generation mechanism of RF fingerprint according to physical structure of radio transmitter. A signal acquisition system is designed to capture the signals to evaluate our method, where signals are generated from the same three Anykey AKDS700 radios. The proposed method can achieve higher classification accuracy than that of the other two steady-state methods, and its performance under different SNR is evaluated from experimental data. The results demonstrate the effectiveness of the proposal. |
| format | Article |
| id | doaj-art-4e14a0a43699476b89456cb4cd862a84 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-4e14a0a43699476b89456cb4cd862a842025-08-20T03:36:41ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772017-01-01201710.1155/2017/15387281538728Radio Frequency Fingerprint Extraction Based on Multidimension Permutation EntropyShouyun Deng0Zhitao Huang1Xiang Wang2Guangquan Huang3College of Electronic Science and Engineering, National University of Defense Technology, No. 137, Street Yanwachi, Changsha, ChinaCollege of Electronic Science and Engineering, National University of Defense Technology, No. 137, Street Yanwachi, Changsha, ChinaCollege of Electronic Science and Engineering, National University of Defense Technology, No. 137, Street Yanwachi, Changsha, ChinaCollege of Electronic Science and Engineering, National University of Defense Technology, No. 137, Street Yanwachi, Changsha, ChinaRadio frequency fingerprint (RF fingerprint) extraction is a technology that can identify the unique radio transmitter at the physical level, using only external feature measurements to match the feature library. RF fingerprint is the reflection of differences between hardware components of transmitters, and it contains rich nonlinear characteristics of internal components within transmitter. RF fingerprint technique has been widely applied to enhance the security of radio frequency communication. In this paper, we propose a new RF fingerprint method based on multidimension permutation entropy. We analyze the generation mechanism of RF fingerprint according to physical structure of radio transmitter. A signal acquisition system is designed to capture the signals to evaluate our method, where signals are generated from the same three Anykey AKDS700 radios. The proposed method can achieve higher classification accuracy than that of the other two steady-state methods, and its performance under different SNR is evaluated from experimental data. The results demonstrate the effectiveness of the proposal.http://dx.doi.org/10.1155/2017/1538728 |
| spellingShingle | Shouyun Deng Zhitao Huang Xiang Wang Guangquan Huang Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy International Journal of Antennas and Propagation |
| title | Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy |
| title_full | Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy |
| title_fullStr | Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy |
| title_full_unstemmed | Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy |
| title_short | Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy |
| title_sort | radio frequency fingerprint extraction based on multidimension permutation entropy |
| url | http://dx.doi.org/10.1155/2017/1538728 |
| work_keys_str_mv | AT shouyundeng radiofrequencyfingerprintextractionbasedonmultidimensionpermutationentropy AT zhitaohuang radiofrequencyfingerprintextractionbasedonmultidimensionpermutationentropy AT xiangwang radiofrequencyfingerprintextractionbasedonmultidimensionpermutationentropy AT guangquanhuang radiofrequencyfingerprintextractionbasedonmultidimensionpermutationentropy |