Ning Wang
Professor
Email: nwang5@wnmb900.com
Ning Wang received the Ph.D. degree in Information and Communication Engineering from Beijing University of Post and Telecommunication, Beijing, China, in 2017. He was a postdoctoral scholar in Electrical and Computer Engineering Department at George Mason University Fairfax, VA, USA, from 2017 to 2020. He was an Engineer in Huaxin Post and Telecommunications Consulting Design Co., Ltd., Hangzhou, Zhejiang, China, from 2012 to 2013. He is currently a Professor with College of Computer Science atChongqing University. He is the Hong Shen Young Scholar in Chongqing University. His current research interests are in physical layer security, machine learning, RF fingerprinting, and cyber-physical system security and privacy. His technical review services include IEEE Transactions on Information Forensics and Security (TIFS), IEEE Transactions on Wireless Communication (TWC), IEEE Transactions on Mobile Computing (TMC), etc.
Selected Publication(*Corresponding Author)
1、Ning Wang,Weiwei Li, Pu Wang, Amir Alipour-Fanid, Long Jiao and Kai Zeng.
"Physical Layer Authentication for 5G Communications: Opportunities and Road
Ahead." [J],IEEE Networks Magazine, In press, 2020.
2、Ning Wang,Long Jiao, Pu Wang, and Kai Zeng. "Exploiting Beam Features for
Spoofing Attack Detection in MmWave 60GHz IEEE 802.11ad Networks." [J],IEEE
Transactions on Wireless Communication (TWC),In press, 2020.
3、Ning Wang, Weiwei Li, Amir Alipour-Fanid, Long Jiao, and Kai Zeng. "Pilot
Contamination Attack Detection for 5G MmWave Grant-Free IoT Networks." [J],IEEE Transactions on Information Forensics and Security (TIFS)，2020.
4、Ning Wang, Long Jiao, Pu Wang, Weiwei Li, and Kai Zeng. "Machine Learning-based Spoofing Attack Detection in MmWave 60GHz IEEE 802.11ad Networks." [C] InIEEE INFOCOM 2020 International Conference on Computer Communications.
5、Ning Wang, Weiwei Li, Amir Alipour-Fanid, Monireh Dabaghchian, and Kai Zeng. "Compressed Sensing-Based Pilot Contamination Attack Detection for NOMA-IoT Communications." [J],IEEE Internet of Things Journal, 2020.
6、Ning Wang, Long Jiao, and Kai Zeng. "Pilot Contamination Attack Detection for
NOMA in 5G Mm-Wave Massive MIMO Networks." [J],IEEE Transactions on Information Forensics and Security (TIFS), 2019.
7、Ning Wang, Long Jiao, Pu Wang, and Kai Zeng. "Physical Layer Security of 5G
Wireless Networks for IoT: Challenges and Opportunities." [J],IEEE Internet of Things Journal, 2019.
8、Ning Wang, Shichao Lv, T Jiang, and Liang Xiao. "Physical Layer Authentication Based on Extreme Learning Machine."[J],IEEE Communications Letters, 2017.
9、Ning Wang, Long Jiao, and Kai Zeng. "Pilot Contamination Attack Detection for
NOMA in Mm-Wave and Massive MIMO 5G Communication." 2018IEEE Conference on Communications and Network Security (CNS). IEEE, 2018
10、Ning Wang, Junqing Le, Weiwei Li, Long Jiao, Zhihao Li and Kai Zeng. "Privacy
Protection and Efficient Incumbent Detection in Federated Learning Based Spectrum Sharing." 2020IEEE Conference on Communications and Network Security (CNS). IEEE, 2020.
11、Long Jiao,Ning Wang, Pu Wang, Amir Alipour-Fanid, Jie Tang, Kai Zeng. "Physical Layer Key Generation in 5G Wireless Networks." [J],IEEE Communications Magazine，2019.
12、Pu Wang,Ning Wang, Monireh Dabaghchian, Kai Zeng, and Zheng Yan. "Optimal Resource Allocation for Secure Multi-User Wireless Powered Backscatter
Communication with Artificial Noise." In IEEE INFOCOM 2019-IEEE Conference on
International Conference on Computer Communications, 2019
13、Amir Alipour-Fanid, Monireh Dabaghchian,Ning Wang, and Kai Zeng. "Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic." [J],IEEE Transactions on Information Forensics and Security (TIFS), 2019.
Professional Activities
Member of IEEE and IEEE Communications Society
