Hanif Rahbari Headshot

Hanif Rahbari

Assistant Professor
Department of Computing Security
Golisano College of Computing and Information Sciences

Office Hours
Monday: 1:00pm to 2:00pm
Office Location
Office Mailing Address
152 Lomb Memorial Drive Rochester, NY 14623

Hanif Rahbari

Assistant Professor
Department of Computing Security
Golisano College of Computing and Information Sciences


BS, Sharif University of Technology (Iran); MS, Amirkabir University (Iran); Ph.D., University of Arizona


Hanif Rahbari received the Ph.D. degree in electrical and computer engineering from the University of Arizona (UA) in 2016. His dissertation was a blend of theoretical and experimental (software radio-based) research on transmission fingerprints obfuscation in wireless communications. He joined RIT as an Assistant Professor of Computing Security in Spring 2018 after a short-term affiliation with UA as a Senior Research Specialist and a brief experience as a Postdoctoral Associate at Virginia Tech. His broad research area is wireless security and communications, with emphasis on jamming, privacy-preserving physical layer, connected vehicles security, Internet of Things (IoT), Wi-Fi security, and 5G/6G. He was the lead researcher in developing the first ever modulation obfuscation technique, and the swiftest but highly disruptive jamming attacks against Wi-Fi systems. He also teaches undergraduate and graduate courses on wireless security.

For a complete list of Dr. Rahbari's publications, please see http://rahbari.csec.rit.edu/publications


Personal Links
Areas of Expertise

Currently Teaching

3 Credits
The goal of this course is to provide the students with an understanding of the principles and concepts of wireless communications and networks, as well as their security vulnerabilities and security protocols. In addition, the students will gain practical experience via a series of attack/defense lab activities, and a software radio project to explore mechanisms for analyzing and/or securing modern wireless networks. The course begins with a primer on wireless security concepts from a physical-layer perspective. It then covers various generations of security protocols for IEEE 802.11 (Wi-Fi) systems, security of cellular networks, security of Internet-of-Things (IoT) communication protocols, security standards for connected vehicles communications, and other selected trending topics.
3 Credits
This course explores current topics in Computing Security. It is intended as a place holder course for faculty to experiment new course offerings in Computing Security undergraduate program. Course specific details change with respect to each specific focal area proposed by faculty.
3 Credits
This is a capstone course for students in the information security and forensics program. Students will apply knowledge and skills learned and work on real world projects in various areas of computing security. Projects may require performing security analysis of systems, networks, and software, etc., devising and implementing security solutions in real world applications.

In the News

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Published Conference Proceedings
Zhang, Zhengguang, Hanif Rahbari, and Marwan Krunz. "Expanding the Role of Preambles to Support User-defined Functionality in MIMO-based WLANs." Proceedings of the 39th Annual IEEE International Conference on Computer Communications (INFOCOM 2020), Virtual Conference, July 2020. Ed. N/A. Piscataway, NJ, United States: IEEE, 2020. Print.
Rahbari, Hanif, et al. "Adaptive Demodulation for Wireless Systems in the Presence of Frequency-Offset Estimation Errors." Proceedings of the IEEE INFOCOM, Honolulu, HI, USA, April 2018. Ed. N/A. Piscataway, NJ: IEEE, 2018. Print.
Rahbari, Hanif, Jinshan Liu, and Jung-Min (Jerry) Park. "SecureMatch: Scalable Authentication and Key Relegation for IoT Using Physical-Layer Techniques." Proceedings of the IEEE Conference on Communications and Network Security (CNS), Beijing, China, June 2018. Ed. N/A. Piscataway, NJ: IEEE, 2018. Print.
Journal Paper
Siyari, Peyman, Hanif Rahbari, and Marwan Krunz. "Lightweight Machine Learning for Efficient Frequency-Offset-Aware Demodulation." IEEE Journal on Selected Areas in Communications 37. 11 (2019): 2544-2558. Print.
Full Patent
Krunz, Marwan M., et al. "Systems and Methods for Securing Wireless Communications." U.S. Patent 10,439,755. 8 Oct. 2019.
Krunz, Marwan M., et al. "Systems and Methods for Securing Wireless Communications." U.S. Patent US010069592B1. 4 Sep. 2018.