Design of a hybrid RF fingerprint extraction and device classification scheme L Peng, A Hu, J Zhang, Y Jiang, J Yu, Y Yan IEEE internet of things journal 6 (1), 349-360, 2018 | 287 | 2018 |
Deep learning based RF fingerprint identification using differential constellation trace figure L Peng, J Zhang, M Liu, A Hu IEEE Transactions on Vehicular Technology 69 (1), 1091-1095, 2019 | 283 | 2019 |
A robust RF fingerprinting approach using multisampling convolutional neural network J Yu, A Hu, G Li, L Peng IEEE internet of things journal 6 (4), 6786-6799, 2019 | 248 | 2019 |
Radio frequency fingerprint identification for LoRa using deep learning G Shen, J Zhang, A Marshall, L Peng, X Wang IEEE Journal on Selected Areas in Communications 39 (8), 2604-2616, 2021 | 201 | 2021 |
High-agreement uncorrelated secret key generation based on principal component analysis preprocessing G Li, A Hu, J Zhang, L Peng, C Sun, D Cao IEEE Transactions on Communications 66 (7), 3022-3034, 2018 | 138 | 2018 |
Radio frequency fingerprint identification for LoRa using spectrogram and CNN G Shen, J Zhang, A Marshall, L Peng, X Wang IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 131 | 2021 |
Radio frequency fingerprint identification based on denoising autoencoders J Yu, A Hu, F Zhou, Y Xing, Y Yu, G Li, L Peng 2019 International Conference on Wireless and Mobile Computing, Networking …, 2019 | 86 | 2019 |
On radio frequency fingerprint identification for DSSS systems in low SNR scenarios Y Xing, A Hu, J Zhang, L Peng, G Li IEEE communications letters 22 (11), 2326-2329, 2018 | 82 | 2018 |
A robust radio-frequency fingerprint extraction scheme for practical device recognition X Zhou, A Hu, G Li, L Peng, Y Xing, J Yu IEEE Internet of Things Journal 8 (14), 11276-11289, 2021 | 67 | 2021 |
An investigation of using loop-back mechanism for channel reciprocity enhancement in secret key generation P Linning, G Li, J Zhang, R Woods, M Liu, A Hu IEEE transactions on mobile computing 18 (3), 507-519, 2018 | 64 | 2018 |
Physical layer identification of LoRa devices using constellation trace figure Y Jiang, L Peng, A Hu, S Wang, Y Huang, L Zhang EURASIP Journal on Wireless Communications and Networking 2019, 1-11, 2019 | 51 | 2019 |
A convolutional neural network-based RF fingerprinting identification scheme for mobile phones S Wang, L Peng, H Fu, A Hu, X Zhou IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020 | 43 | 2020 |
LTE device identification based on RF fingerprint with multi-channel convolutional neural network P Yin, L Peng, J Zhang, M Liu, H Fu, A Hu 2021 IEEE global communications conference (GLOBECOM), 1-6, 2021 | 42 | 2021 |
A differential constellation trace figure based device identification method for ZigBee nodes L Peng, A Hu, Y Jiang, Y Yan, C Zhu 2016 8th International Conference on Wireless Communications & Signal …, 2016 | 42 | 2016 |
On bit-loading for discrete multi-tone transmission over short range POF systems L Peng, M Hélard, S Haese Journal of lightwave technology 31 (24), 4155-4165, 2013 | 41 | 2013 |
Design of a channel robust radio frequency fingerprint identification scheme Y Xing, A Hu, J Zhang, L Peng, X Wang IEEE Internet of Things Journal 10 (8), 6946-6959, 2022 | 32 | 2022 |
Design of a robust RF fingerprint generation and classification scheme for practical device identification X Zhou, A Hu, G Li, L Peng, Y Xing, J Yu 2019 IEEE Conference on Communications and Network Security (CNS), 196-204, 2019 | 32 | 2019 |
Radio frequency fingerprint identification for Internet of Things: A survey L Xie, L Peng, J Zhang, A Hu Security and Safety 3, 2023022, 2024 | 30 | 2024 |
A practical study of channel influence on radio frequency fingerprint features Y Ren, L Peng, W Bai, J Yu 2018 IEEE International Conference on Electronics and Communication …, 2018 | 26 | 2018 |
Deep learning-based RF fingerprint identification with channel effects mitigation H Fu, L Peng, M Liu, A Hu IEEE Open Journal of the Communications Society 4, 1668-1681, 2023 | 23 | 2023 |