Books:
1. Shengjie Xu, Yi Qian, Rose Qingyang Hu, Cybersecurity in Intelligent Networking Systems, IEEE Press/Wiley, Hoboken, NJ, December 2022.
Journal Publications:
1. Yili Jiang, Kuan Zhang, Yi Qian, Rose Qingyang Hu, “Privacy-preserving data deduplication in edge-assisted mobile crowdsensing”, International Journal of Multimedia Intelligence and Security, Vol.4, No.1, pp.1-19, February 2022.
2. Jiaqi Huang, Yi Qian and Rose Qingyang Hu, “A Privacy-Preserving Scheme for Location Based Services in the Internet of Vehicles”, Journal of Communications and Information Networks, Vol.6, No.4, pp.385-395, December 2021.
3. Sohan Gyawali, Yi Qian, Rose Qingyang Hu, “Deep Reinforcement Learning based Dynamic Reputation Policy in 5G based Vehicular Communication Networks”, IEEE Transactions on Vehicular Technology, Vol.70, No.6, pp.6136-6146, June 2021.
4. Sohan Gyawali, Yi Qian, Rose Qingyang Hu, “A Privacy-Preserving Misbehavior Detection System in Vehicular Communication Networks”, IEEE Transactions on Vehicular Technology, Vol.70, No. 6, pp.6147-6158, June 2021.
5. Qun Wang, Fuhui Zhou, Rose Qingyang Hu, and Yi Qian, “Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks”, IEEE Transactions on Wireless Communications, Vol.20, No. 4, pp.2592-2607, April 2021.
6. Qun Wang, Le Thanh Tan, Rose Qingyang Hu, Yi Qian, “Hierarchical Energy Efficient Mobile Edge Computing in IoT Networks”, IEEE Internet of Things Journal, Vol.7, No.12, pp.11626-11639, December 2020.
Conference Publications:
1. Nicholas Jaton, Sohan Gyawali, Yi Qian, “Distributed Neural Network-Based DDoS Detection in Vehicular Communication Systems”, Proceedings of ICSPCS'2023, Bydgoszcz, Poland, September 6 - 8, 2023.
2. Xiang Ma, Haijian Sun, Rose Qingyang Hu, Yi Qian, “Approximate Wireless Communication for Federated Learning”, Proceedings of 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiseML’2023, Guildford, Surrey, UK, May 29 - June 01, 2023.
3. Xiang Ma, Haijian Sun, Rose Qingyang Hu and Yi Qian, “A New Implementation of Federated Learning for Privacy and Security Enhancement”, Proceedings of IEEE GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022.
4. Yili Jiang, Kuan Zhang, Yi Qian, Rose Qingyang Hu, “Preserving Location Privacy and Accurate Task Allocation in Edge-assisted Mobile Crowdsensing”, Proceedings of IEEE WCNC 2022, Austin, TX, April 10-13, 2022.
5. Yili Jiang, Kuan Zhang, Yi Qian, and Rose Qingyang Hu, “Cooperative Task Allocation in Edge Computing Assisted Vehicular Crowdsensing”, Proceedings of IEEE GLOBECOM 2021, Madrid, Spain, December 7-11, 2021.
6. Yili Jiang, Kuan Zhang, Yi Qian, and Rose Qingyang Hu, “Efficient and Privacy-preserving Distributed Learning in Cloud-Edge Computing Systems”, Proceedings of 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiseML’2021, Abu Dhabi, UAE, June 28-July 2, 2021.
7. Yili Jiang, Kuan Zhang, Yi Qian, and Liang Zhou, “An Optimization Framework for Privacy-preserving Access Control in Cloud-Fog Computing System”, Proceedings of IEEE VTC 2020-Fall, Virtual Conference, November 18 - December 16, 2020.
Thesis & Dissertations:
1. Troy Green, “A Stacking Based Misbehavior Detection System in Vehicular Networks”, MS Thesis, Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, December 2022.
2. Yili Jiang, “Security and Privacy in Cloud/Edge-Assisted Mobile Crowdsensing”, Ph.D. Dissertation, Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, August 2022.
3. Nicholas A. Jaton, “Distributed Neural Network based Architecture for DDoS Detection in Vehicular Communication Systems”, MS Thesis, Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, August 2021.