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[76][C] L. Xie, L. P eng and J. Zhang, Towards Robust RF Fingerprint Identification Using Spectral Regrowth and Carrier Frequency Offset, IEEE INFOCOM 2025 - IEEE Conference on Computer Communications, London, United Kingdom, 2025, pp. 1-10
[75][J] L. Xie, L. Peng , J. Zhang, A. Gao, H. Fu and J. Shi, Channel2Channel: Towards Robust Radio Frequency Fingerprint Extraction and Identification, in IEEE Journal on Selected Areas in Communications, 2025 (early access)
[74][C] J. Ma, J. Zhang, G. Shen, L. Peng and A. Marshall, Towards Channel-Robust Radio Frequency Fingerprint Identification Using Contrastive Learning, 2025 IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025, pp. 1-6
[73][C] A. Gao, L. Peng and J. Shi, An Embedded ZigBee Identification System Based on LMS Filter, 2024 10th International Conference on Computer and Communications (ICCC), Chengdu, China, 2024, pp. 898-903
[72][C] M. Wang, L. Peng , L. Xie, J. Zhang, M. Liu and H. Fu, Design of Noise Robust Open-Set Radio Frequency Fingerprint Identification Method, IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver, BC, Canada, 2024, pp. 1-6
[71][J] P. Yin, L. P eng et al., Multi-Channel CNN-Based Open-Set RF Fingerprint Identification for LTE Devices, in IEEE Transactions on Cognitive Communications and Networking
[70][J] W. Jing, L. Peng , H. Fu and A. Hu, An Authentication Mechanism Based on Zero Trust With Radio Frequency Fingerprint for Internet of Things Networks, in IEEE Internet of Things Journal, vol. 11, no. 13, pp. 23683-23698, 1 July1, 2024
[69][J] L. Peng , Z. Wu, J. Zhang, M. Liu, H. Fu and A. Hu, Hybrid RFF Identification for LTE Using Wavelet Coefficient Graph and Differential Spectrum, in IEEE Transactions on Vehicular Technology, vol. 73, no. 8, pp. 11621-11636, Aug. 2024
[68][J] L. Peng, H. Peng, H. Fu and M. Liu, Channel-Robust Radio Frequency Fingerprint Identification for Cellular Uplink LTE Devices, in IEEE Internet of Things Journal, vol. 11, no. 10, pp. 17154-17169, 15 May15, 2024
[67][J] H. Fu, Y. Sun, L. Peng and M. Liu, Channel-Resilient RF Fingerprint Identification Based on Nonlinear Features With Memory Effect, in IEEE Communications Letters, vol. 28, no. 4, pp. 798-802, April 2024
[66][J] Fu H, Dong H, Yin J, Peng L . Radio Frequency Fingerprint Identification for 5G Mobile Devices Using DCTF and Deep Learning. Entropy. 2024; 26(1):38. https://doi.org/10.3390/e26010038
[65][J] Fu H, Zhang X, Peng L . Performance Analysis of Artificial Noise-Assisted Location-Based Beamforming in Rician Wiretap Channels. Entropy. 2023; 25(12):1626. https://doi.org/10.3390/e25121626
[64][C] H. Peng, L. Peng , H. Fu, L. Xie, J. Shi and W. Jing, Channel-Robust Radio Frequency Fingerprint Identification for LTE Devices with Hybrid Feature, 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Exeter, United Kingdom, 2023, pp. 1416-1421
[63][J] Lingnan Xie, Linning Peng , Junqing Zhang and Aiqun Hu, Radio frequency fingerprint identification for Internet of Things: A survey, Security and Safety, 3 (2024). https://sands.edpsciences.org/articles/sands/full_html/2024/01/sands20230017/sands20230017.html （欢迎大家阅读我们在射频指纹方面的综述文章）
[62][J] Ma, Y., Peng, L. , Yin, W. et al. A High Consistency Wireless Key Generation Scheme for Vehicular Communication Based on Wiener Filter Extrapolation. Automot. Innov. (2023). https://mp.weixin.qq.com/s/SKbQrZgIA2svcgptJ4-sFw （论文介绍参见链接）
[61][J] J. Shi, L. Peng , H. Fu and A. Hu, Robust RF Fingerprint Extraction Based on Cyclic Shift Characteristic, in IEEE Internet of Things Journal, vol. 10, no. 21, pp. 19218-19233, 1 Nov.1, 2023
[60][J] H. Fu, L. Peng , M. Liu and A. Hu, Deep Learning-Based RF Fingerprint Identification With Channel Effects Mitigation, in IEEE Open Journal of the Communications Society, vol. 4, pp. 1668-1681, 2023
[59][C] D. Li, L. Peng , H. Fu, F. Wang, Y. Tian and S. He, ESP32-based Multi-User Secret Key Generation System, 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2023, pp. 821-825
[58][C] W. Yin, L. Peng , H. Fu and A. Hu, Research on Key Generation Performance of Wireless Channel Based on LTE-V2X, 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2023, pp. 784-788
[57][C] H. Han, L. Peng , H. Fu, Y. Cheng, Y. Tian and S. He, A Highly Robust Secret Key Reconcile System Based on Cyclic Shift Buffer and HARQ Mechanism, 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2023, pp. 773-777
[56][C] X. Xue, L. Peng , H. Fu and A. Hu, A Doppler Reciprocity based Key Generation Method for C-V2X System, 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2023, pp. 794-798
[55][C] X. Meng, L. Peng , R. Song, H. Fu and A. Hu, Channel Robust RF Fingerprint Identification Method with Narrow Band Differential Constellation Trace Figure, 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2023, pp. 18-22
[54][C] H. Fu, J. Yin and L. Peng , RF Fingerprint Identification for 5G Mobile Device Based on Transient Features, 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2023, pp. 1-5
[53][C] H. Fu, X. Zhang and L. Peng , Comparison of Receiver Front-end Differences for RF Fingerprint based IoT Device Identification, 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2023, pp. 979-984
[52][J] Y. Xing, A. Hu, J. Zhang, L. Peng and X. Wang, Design of a Channel Robust Radio Frequency Fingerprint Identification Scheme, in IEEE Internet of Things Journal, vol. 10, no. 8, pp. 6946-6959, 15 April15, 2023
[51][C] Z. Wu, L. Peng , J. Zhang, M. Liu, H. Fu and A. Hu, Authorized and Rogue LTE Terminal Identification Using Wavelet Coefficient Graph with Auto-encoder, 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London, United Kingdom, 2022, pp. 1-5
[50][C] Y. Xu, M. Liu, L. Peng , J. Zhang and Y. Zheng, Colluding RF Fingerprint Impersonation Attack Based on Generative Adversarial Network, ICC 2022 - IEEE International Conference on Communications, Seoul, Korea, Republic of, 2022, pp. 3220-3225
[49][C] Y. Qiu, L. Peng , J. Zhang, M. Liu, H. Fu and A. Hu, Signal-independent RFF Identification for LTE Mobile Devices via Ensemble Deep Learning, GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 37-42
[48][C] Z. Chen, L. Peng and H. Fu, Isolated forest-based ZigBee Device Identification Using Adaptive Filter Coefficients, 2022 7th International Conference on Computer and Communication Systems (ICCCS), Wuhan, China, 2022, pp. 715-720
[47][C] M. Liu, X. Han, N. Liu and L. Peng , Bidirectional IoT Device Identification Based on Radio Frequency Fingerprint Reciprocity, ICC 2021 - IEEE International Conference on Communications, Montreal, QC, Canada, 2021, pp. 1-6
[46][C] T. Ding, L. Peng , Y. Qiu, Z. Wu and H. Fu, A Research of I/Q Imbalance based RF Fingerprint Identification with LTE-RACH Signals, 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP), Nanjing, China, 2021, pp. 66-71
[45][C] P. Yin, L. Peng , J. Zhang, M. Liu, H. Fu and A. Hu, LTE Device Identification Based on RF Fingerprint with Multi-Channel Convolutional Neural Network, 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021, pp. 1-6
[44][C] G. Shen, J. Zhang, A. Marshall, L. Peng and X. Wang, Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN, IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, Vancouver, BC, Canada, 2021, pp. 1-10
[43][J] H. Fu, S. Roy and L. Peng , Asymptotic Performance Analysis of MMSE Receivers in Multicell MU-MIMO Systems, in IEEE Transactions on Vehicular Technology, vol. 70, no. 9, pp. 9174-9189, Sept. 2021
[42][J] Y. Xing, T. Wang, F. Zhou, A. Hu, G. Li and L. Peng , EVAL Cane: Nonintrusive Monitoring Platform With a Novel Gait-Based User-Identification Scheme, in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-15, 2021, Art no. 2500115
[41][J] X. Zhou, A. Hu, G. Li, L. Peng , Y. Xing and J. Yu, A Robust Radio-Frequency Fingerprint Extraction Scheme for Practical Device Recognition, in IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11276-11289, 15 July15, 2021
[40][J] G. Shen, J. Zhang, A. Marshall, L. Peng and X. Wang, Radio Frequency Fingerprint Identification for LoRa Using Deep Learning, in IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2604-2616, Aug. 2021
[39][C] Y. Liu, L. Peng , S. He, Y. Tian and F. Wang, Remote Secure Communication System Based on Wireless Channel Key Generations, 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP), Nanjing, China, 2021, pp. 969-974
[38][J] Chen Zekun, Peng Linning , Hu Aiqun, Fu Hua, “Generative adversarial network-based rogue device identification using differential constellation trace figure”, Eurasip Journal on Wireless Communications and Networking, v 2021, n 1, December 2021
[37][C] Li Zhaosheng, Peng Linning , “Research on the design of highly random and consistent wireless key generation system”, ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference, p 1685-1690, December 11, 2020
[36][C] Wang Sheng, Peng Linning , Fu Hua, Hu Aiqun, Zhou Xinyu, “A convolutional neural network-based rf fingerprinting identification scheme for mobile phones”, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020, p 115-120, July 2020
[35][J] 陈超， 彭林宁 ，张广凯，一种基于相关峰统计特征的光纤以太网设备指纹识别系统，《通信技术》， 2020 ， 53(02):284-292
[34][J] 季澈， 彭林宁 ，胡爱群，王栋，基于射频信号特征的 Airmax 设备指纹提取方法，《数据采集与处理》， Vol.35 ， No.2 ， Mar.2020 ， pp.331-343
[33][J] 袁瑞， 彭林宁 ，李古月，付华，不同环境下无线信道密钥生成性能研究，《密码学报》 2020, 7(2): 261–273
[32][J] Peng Linning , Zhang Junqing, Liu Ming, Hu Aiqun, “Deep Learning Based RF Fingerprint Identification Using Differential Constellation Trace Figure”, IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 1091-1095, Jan. 2020
[31][C] Yao Li, Peng Linning , Li Guyue, Fu Hua, Hu Aiqun, “A Simulation and Experimental Study of Channel Reciprocity in TDD and FDD Wiretap Channels”, 2019 IEEE 19th International Conference on Communication Technology, ICCT 2019
[30][C] Wang Yufan, Peng Linning , Fu Hua, Li Guyue, Hu Aiqun, “Performance Analysis of Concatenated Error Correction Code in Secret Key Generation System”, 2019 IEEE 19th International Conference on Communication Technology, ICCT 2019
[29][C] Xing Yuexiu, Hu Aiqun, Yu Jiabao, Li Guyue, Peng Linning , Zhou Fen, “A Robust Radio Frequency Fingerprint Identification Scheme for LFM Pulse Radars”, 2019 International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2019
[28][C] Yu Jiabao, Hu Aiqun, Zhou Fen, Xing Yuexiu, Yu Yi, Li Guyue, Peng Linning , “Radio Frequency Fingerprint Identification Based on Denoising Autoencoders”,2019 International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2019
[27][J] Peng Linning , Li Guyue, Zhang Junqing, Woods Roger, Liu Ming and Hu Aiqun, “An Investigation of Using Loop-Back Mechanism for Channel Reciprocity Enhancement in Secret Key Generation”, IEEE Transactions on Mobile Computing, vol. 18, no. 3, pp. 507-519, Mar. 2019
[26][J] Peng Linning , Hu Aiqun, Zhang Junqing, Jiang Yu, Yu Jiabao, Yan Yan,“Design of a Hybrid RF Fingerprint Extraction and Device Classification Scheme”, IEEE Internet of Things Journal, vol. 6, no. 1, pp. 349-360, Feb. 2019
[25][C] Peng Linning , Hu Aiqun, “A Design of Deep Learning Based Optical Fiber Ethernet Device Fingerprint Identification System”. 2019 IEEE International Conference on Communications (ICC), May 2019
[24][J] Jiang Yu, Peng Linning , Hu Aiqun, Wang Sheng, Huang Yi, Zhang Lu,“Physical layer identification of LoRa devices using constellation trace figure”, Eurasip Journal on Wireless Communications and Networking, vol. 2019, no. 1, December 1, 2019
[23][C] Zhou Xinyu, Hu Aiqun, Li Guyue, Peng Linning , Xing Yuexiu, Yu Jiabao,“Design of a Robust RF Fingerprint Generation and Classification Scheme for Practical Device Identification”, 2019 IEEE Conference on Communications and Network Security (CNS), June 2019
[22][J] Yu Jiabao, Hu Aiqun, Li Guyue, Peng Linning , “A Robust RF Fingerprinting Approach Using Multisampling Convolutional Neural Network”, IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6786-6799, August 2019
[21][C] Peng Linning , Li Guyue, Zhang Junqing, Hu Aiqun, “Securing M2M Transmissions Using Nonreconciled Secret Keys Generated from Wireless Channels”, 2018 IEEE Globecom Workshops (GC Wkshps), December 2018
[20][C] Ren Yuqian, Peng Linning , Bai Wensong, Yu Jiabao, “A Practical Study of Channel Influence on Radio Frequency Fingerprint Features”, 2018 IEEE International Conference on Electronics and Communication Engineering (ICECE), July 2018
[19][C] Yuan Yangxin, Peng Linning , “Wireless device identification based on improved convolutional neural network model”, International Conference on Communication Technology Proceedings (ICCT), October 2018
[18][J] 齐恒 , 彭林宁 , 姜禹 , 基于临近听域超声波 TDOA 室内定位的实现。《数据采集与处理》 , 2018 年 , 第 33 卷，第 6 期，第 154-160 页
[17][J] Xing Yuexiu, Hu Aiqun, Zhang Junqing, Peng Linning , Li Guyue, “On radio frequency fingerprint identification for DSSS systems in low SNR scenarios”, IEEE Communications Letters, vol. 22, no. 11, pp. 2326-2329, November 2018
[16][J] Li Guyue, Hu Aiqun, Zhang Junqing, Peng Linning , Sun Chen, Cao Daming,“High-Agreement Uncorrelated Secret Key Generation Based on Principal Component Analysis Preprocessing”, IEEE Transactions on Communications, vol. 66, no. 7, pp. 3022-3034, July 2018
[15][C] Wang Dong, Hu Aiqun, Peng Linning , “Energy Selected Transmitter RF Fingerprint Estimation in Multi-Antenna OFDM Systems”, 2018 International Conference on Wireless Communications and Signal Processing (WCSP), November 2018
[14][J] 崔正阳 ; 胡爱群 ; 彭林宁 ，一种基于轮廓特征的射频指纹识别方法，《信息网络安全》， 2017 年，第 10 期，第 75-80 页
[13][C] Peng Linning , Li Guyue, Hu Aiqun, “Channel reciprocity improvement of secret key generation with loop-back transmissions”, 2017 International Conference on Communication Technology (ICCT), October 2017
[12][J] Peng Linning , Liu Ming, Hélard Maryline, Haese Sylvain, “PN-PAM scheme for short range optical transmission over SI-POF — an alternative to Discrete Multi-Tone (DMT) scheme”, Journal of the European Optical Society, vol. 13, no. 1, December 1, 2017
[11][J] 俞佳宝 , 胡爱群 , 朱长明 , 彭林宁 , 姜禹，无线通信设备的射频指纹提取与识别方法。《密码学报》， 2016 年，第 3 卷，第 5 期，第 433-446 页
[10][J] 彭林宁 , 胡爱群 , 朱长明 , 姜禹，基于星座轨迹图的射频指纹提取方法。《信息安全学报》 , 2016 年 , 第 1 卷，第 1 期，第 50-58 页
[9][C] Peng Linning , Hu Aiqun, Jiang Yu, Yan Yan, Zhu Changming, “A differential constellation trace figure based device identification method for ZigBee nodes”, 2016 International Conference on Wireless Communications and Signal Processing (WCSP), November 2016
[8][C] Yu, Jiabao, Hu Aiqun, Peng Linning , “Blind DCTF-based estimation of carrier frequency offset for RF fingerprint extraction”, 2016 International Conference on Wireless Communications and Signal Processing (WCSP), November 2016
[7][C] Li Guyue, Hu Aiqun, Zou Yaning, Peng Linning , Valkama Mikko, “A novel transform for secret key generation in time-varying TDD channel under hardware fingerprint deviation”, IEEE Vehicular Technology Conference (VTC), Fall 2015
[6][J] Peng Linning , Helard Maryline, Haese Sylvain, Liu Ming, Helard Jean-Francois, “Hybrid PN-ZP-DMT scheme for spectrum-efficient optical communications and its application to SI-POF”, Journal of Lightwave Technology, vol. 32, no. 18, pp. 3149-3160, September 15, 2014
[5][J] Peng Linning , Hélard Maryline, Haese Sylvain, “On bit-loading for discrete multi-tone transmission over short range POF systems”, Journal of Lightwave Technology, vol. 31, no. 24, pp. 4155-4165, December 15, 2013
[4][J] Peng Linning , Haese Sylvain, Helard Maryline, “Optimized discrete multitone communication over polymer optical fiber”, Journal of Optical Communications and Networking, vol. 5, no. 11, pp. 1313-1327, November 2013
[3][J] Peng Linning , Haese Sylvain, Helard Maryline, “Frequency domain LED compensation for nonlinearity mitigation in DMT systems”, IEEE Photonics Technology Letters, vol. 25, no. 20, pp. 2022-2055, 2013
[2][C] Peng Linning , Hélard Maryline, Haese Sylvain, “Optimization of multi-band DFT-spread DMT system for polymer optical fiber communications”, IEEE International Conference on Communications (ICC), June 2013
[1][C] Peng Linning , Haese Sylvain, Hélard Maryline, Liu Ming, “1.5 Gbps PN-ZP-DMT transmission system for 1-mm core diameter SI-POF with RC-LED”, 39th European Conference and Exhibition on Optical Communication (ECOC), 2013
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