Research Interests:

Cybersecurity, Internet of Things (IoT) Security, Cyber-Physical Systems Security, Security and Privacy in Spectrum Sharing Networks, Online Learning Algorithms, Multi-armed bandits (MAB), Statistical Learning, Artificial Intelligence, and Deep Learning.

Dr. Dabaghchian’s research lies at the intersection of cybersecurity and machine learning (ML). She is interested in studying and analyzing the threats, vulnerabilities, and risks present in IoT devices such as civilian Unmanned Aerial Vehicles (UAV), smart cars, and intelligent vehicle platooning in autonomous vehicles. She is also interested in security of cyber-physical systems as well as spectrum sharing wireless networks. She applies existing machine learning techniques and designs new ML algorithms with theoretical analysis to design effective and robust defense mechanisms to mitigate potential cybersecurity threats.

Selected Publications:

• A. Alipour-Fanid, M. Dabaghchian, N. Wang, P. Wang, L. Zhao, K. Zeng, “Machine Learning-Based Delay-Aware UAV Detection over Encrypted Wi-Fi Traffic”, IEEE Conference on Communications and Network Security (CNS) CPS-SEC, 2019.
• N. Wang, L. Jiao, A. Alipour Fanid, M. Dabaghchian, K. Zeng, “Pilot Contamination Attack Detection for NOMA in 5G Mm-Wave Massive MIMO Networks”, IEEE Transactions on Information Forensics and Security (TIFS), 2019.
• 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”, IEEE/ACM Transactions on Networking (ToN), vol. 26, no. 5, pp. 2268-2281, Oct. 2018.
• J.Tang, M. Dabaghchian, K. Zeng, H. Wen “Impact of Mobility on Physical Layer Security over Wireless Fading Channels”, IEEE Transactions on Wireless Communications (TWC), vol. 17, no. 12, pp. 7849-7864, Dec. 2018.
• A. Alipour-Fanid, M. Dabaghchian, H. Zhang, K. Zeng, “String Stability Analysis of Cooperative Adaptive Cruise Control Under Jamming Attacks”, 2017 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”, 2016 IEEE Conference on Communications and Network Security (CNS), Philadelphia, PA, 2016, pp. 100-108 [Best paper award nomination].
• M. Dabaghchian, S. Liu, A. Alipour-Fanid, K. Zeng, X. Li, and Y. Chen. “Intelligence Measure of Cognitive Radios with Learning Capabilities”, In Global Communications Conference, 2016 GLOBECOM 2016. IEEE, Dec 2016.