趙彩丹，女，博士，廈門大學信息學院副教授、碩士生導師。
基本介紹
- 中文名：趙彩丹
- 學位/學歷：博士
- 職業：教師
- 職務：廈門大學信息學院碩士生導師
- 任職院校：廈門大學信息學院
- 職稱：副教授
研究方向,主講課程,學術成果,
研究方向
無線網路安全，數位訊號處理，信號識別與檢測，機器學習
主講課程
數位訊號處理
信號與系統
多媒體通信
網路安全攻防技術基礎
學術成果
在研項目:
1.福建省自然科學基金，基於生成對抗網路的小型無人機檢測與識別技術研究， 2019/04-2022/12，主持
2.國家自然科學基金重大研究計畫項目，面向沉浸式體驗的空天地一體化車聯網關鍵技術，2017.01-2020.12 ，子課題負責人
3.國家高技術研究發展計畫(863計畫)項目，基於物理層增強安全的未來無線通信傳輸技術研究，2015/01-2016/12 ，子課題負責人
4.國家自然科學基金應急管理項目，無線發射機信號指紋的形成機理及特徵識別研究，2015/01-2015/12 ，主持
5.橫向課題，寬頻無線移動套用技術研究基金， 2014/04-2015/6，主持
6.福建省自然科學基金，寬頻無線通信信號指紋的識別研究， 2014/01-2016/12 ，主持
7.橫向課題，無線通信信號的個體識別分析系統，主持
代表性論文:
[1] Zhao C, Huang L, Zhao Y, et al. Secure Machine-Type Communications toward LTE Heterogeneous Networks[J]. IEEE Wireless Communications,
[2] C. Zhao, M. Huang, L. Huang, X. Du, M. Guizani, “A Robust Authentication Scheme Based on Physical-Layer Phase Noise Fingerprint for Emerging Wireless Networks”, Computer Networks, May 2017,（JCR 3）
[3] Zhao, C.; Chen, C.; He, Z.; Wu, Z. Application of Auxiliary Classifier Wasserstein Generative Adversarial Networks in Wireless Signal Classification of Illegal Unmanned Aerial Vehicles. Appl. Sci.
[4] Caidan Zhao, Mingxian Shi, Zhibiao Cai, and Caiyun Chen. “Research on the Open-Categorical Classification of the Internet-of-Things Based on Generative Adversarial Networks” Applied Sciences,
[5] Caidan Zhao, Caiyun Chen, Zhibiao Cai, Mingxian Sh, Xiaojiang Du, and Mohsen Guizani, “Classification of Small UAVs based on Auxiliary Classifier Wasserstein GANs”, IEEE Globecom’18, Abu Dhabi,
[6] C. Zhao, Z. Cai, M. Huang, M. Shi, X. Du and M. Guizani, The Identification of Secular Variation in IoT Based on Transfer Learning, 2018 International Conference on Computing, Networking and Communications (ICNC), Maui, HI, USA,
[7] Shi Z, Huang M, Zhao C*, et al. Detection of LSSUAV using hash fingerprint based SVDD[C]//Communications (ICC 2017), 2017 IEEE International Conference on. IEEE,
[8] C. Zhao, M. Shi, Z. Cai and C. Chen, "Detection of unmanned aerial vehicle signal based on Gaussian mixture model," 2017 12th International Conference on Computer Science and Education (ICCSE), Houston, TX,
[9] C. Zhao, Z. Cai , M Huang, and et al. “The Identification of Secular Variation in Wireless Equipment Based on Transfer Learning,” 2018,
[10] Zhao C, Tai M, Huang L, et al. Power Optimization for Secure Communications in Full-duplex System Under Residual Self-Interference，GlobeCom 2016，Washington DC
[11] Z. Shi, X. Lin, C. Zhao*, M. Shi, Multifractal Slope Feature based Wireless Devices Identification, International Conference on Computer Science & Education (ICCSE), Cambridge, 2015, 590-595
[12] Zhao C D, Wu X P, Huang L F, et al. Compressed Sensing Based Fingerprint Identification for Wireless Transmitters. SCIENTIFIC WORLD JOURNAL, 2014:1-9.（SCI）
[13] Zhao C. D., Chi T. Y., Huang L. F., Yao Y., Kuo S. Y. Wireless local area network cards identification based on transient fingerprinting. Wireless Communications and Mobile Computing,
