Journal Papers
A. Alipour-Fanid, M. Dabaghchian, N. Wang, L. Jiao, K. Zeng, “Online Learning-Based Optimal Defense Against Jamming Attacks in Multi-Channel Wireless CPS”, to appear in IEEE Internet of Things Journal (IoT-J), 2021. (Impact Factor: 9.51)
A. Alipour-Fanid, M. Dabaghchian, K. Zeng, “Impact of Jamming Attacks on Vehicular Cooperative Adaptive Cruise Control Systems”, in IEEE Transactions on Vehicular Technology (TVT), Oct. 2020. DOI: 10.1109/TVT.2020.3030251 (Impact Factor: 5.38)
N. Wang, W. Li, A. Alipour-Fanid, L. Jiao, M. Dabaghchian, K. Zeng, “Pilot Contamination Attack Detection for 5G MmWave Grant-Free IoT Networks”, in IEEE Transactions on Information Forensics & Security (TIFS), 2020. (Impact Factor: 6.01)
N. Wang, W. Li, A. Alipour-Fanid, M. Dabaghchian and K. Zeng, “Compressed-Sensing-Based Pilot Contamination Attack Detection for NOMA-IoT Communications”, in IEEE Internet of Things Journal (IoT-J), vol. 7, no. 8, pp. 7764-7772, Aug. 2020. (Impact Factor: 9.51)
A. Alipour-Fanid, M. Dabaghchian, N. Wang, P. Wang, L. Zhao, K. Zeng, “Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic”, in IEEE Transactions on Information Forensics & Security (TIFS), pp. 1–1, 2019. (Impact Factor: 6.01)
Q. Li, A. Alipour-Fanid, M. Slawski, Y. Ye, L. Wu, K. Zeng, and L. Zhao, “Large-scale Cost-aware classification Using feature Computational Dependency Graph”, in IEEE Transactions on Knowledge and Data Engineering (TKDE) , pp. 1–1, 2019. (Impact Factor: 4.93)
N. Wang, L. Jiao, A. Alipour-Fanid, M. Dabaghchian, K. Zeng, “Pilot Contamination Attack Detection for NOMA in 5G Mm-Wave Massive MIMO Networks”, to appear in IEEE Transactions on Information Forensics & Security (TIFS), vol. 15, pp. 1363-1378, 2019. (Impact Factor: 6.01)
L. Jiao, N. Wang, P. Wang, A. Alipour-Fanid, J Tang, K Zeng, “Physical Layer Key Generation in 5G Wireless Networks”, in IEEE Wireless Communications Magazine, 2019. (Impact Factor: 11.05)
N. Wang, P. Wang, A. Alipour-Fanid, L. Jiao, K. Zeng, “Physical Layer Security of 5G Wireless Networks for IoT: Challenges and Opportunities”, in IEEE Internet of Things Journal (IoT-J), 2019. (Impact Factor: 9.51)
M. Dabaghchian, A. Alipour-Fanid, K. Zeng, Q. Wang, P. Auer, “Online Learning with Randomized Feedback Graphs for Optimal PUE Attacks in Cognitive Radio Networks”, in IEEE/ACM Transactions on Networking (ToN) , vol. 26, no. 5, pp. 2268-2281, Oct. 2018. (Impact Factor: 3.32)
Conference Papers
L. Jiao, P. Wang, N. Wang, S. Chen, A. Alipour-Fanid, L. Le, K. Zeng, “Efficient Physical Layer Group Key Generation in 5G Wireless Networks”, in IEEE Conference on Communications and Network Security (CNS), 2020.
A. Alipour-Fanid, M. Dabaghchian, N. Wang, P. Wang, L. Zhao, K. Zeng, “Machine Learning-Based Delay-Aware UAV Detection over Encrypted WiFi Traffic”, in IEEE Conference on Communications and Network Security (CNS) CPS-Sec, 2019.
X. Guo, A. Alipour-Fanid, L. Wu, H. Purohit, X. Chen, K. Zeng, L. Zhao, “Multi-stage Deep Classifier Cascades for Open World Recognition”, in 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019.
Liang Zhao, A. Alipour-Fanid, Martin Slawski, Kai Zeng, “Prediction-time Efficient Classification Using Feature Computational Dependencies”, in Proceedings of the 24st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018.
A. Alipour-Fanid, M. Dabaghchian, H. Zhang, K. Zeng, “String Stability Analysis of Cooperative Adaptive Cruise Control Under Jamming Attacks”, in IEEE 18th International Symposium on High Assurance Systems Engineering (HASE), Singapore, 2017, pp. 157-162.
M. Dabaghchian, A. Alipour-Fanid, K. Zeng, Q. Wang, “Online Learning-based Optimal Primary User Emulation Attacks in Cognitive Radio Networks”, in IEEE Conference on Communications and Network Security (CNS), Philadelphia, PA, Oct. 17-19, 2016.
M. Dabaghchian, S. Liu, A. Alipour-Fanid, K. Zeng, X. Li, and Y. Chen , “Intelligence Measure of Cognitive Radios with Learning capabilities”, in IEEE Global Communications Conference (GLOBECOM), Dec. 4-8, 2016.