Hanif Rahbari Headshot

Hanif Rahbari

Associate Professor

Department of Cybersecurity
Golisano College of Computing and Information Sciences
Affiliated Faculty, Department of Computer Engineering

Office Location
GCI-3789
Office Mailing Address
100 Lomb Memorial Drive Rochester, NY 14623

Hanif Rahbari

Associate Professor

Department of Cybersecurity
Golisano College of Computing and Information Sciences
Affiliated Faculty, Department of Computer Engineering

Education

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

Bio

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 in Spring 2018, following 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 interests lie in wireless security and communications, with emphasis on jamming, secure physical layer, connected vehicle security, Internet of Things (IoT), Wi-Fi security, and secure spectrum coexistence. 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 cybersecurity and (wireless) networking.

For a complete list of Dr. Rahbari's publications, please see https://www.rit.edu/wisplab/publications


Areas of Expertise

Select Scholarship

Journal Paper
Dongre, Siddharth and Hanif Rahbari. "Fair and Secure 5G and Wi-Fi Coexistence Using Robust Implicit Channel Coordination." IEEE Transactions on Information Forensics and Security (TIFS) 19. (2024): 6679 - 6692. Web.
Twardokus, Geoff and Hanif Rahbari. "Toward Protecting 5G Sidelink Scheduling in C-V2X Against Intelligent DoS Attacks." IEEE Transactions on Wireless Communications (TWC) 22. 11 (2023): 7273 - 7286. Web.
Zhang, Zhengguang, Hanif Rahbari, and Marwan Krunz. "Adaptive Preamble Embedding With MIMO to Support User-Defined Functionalities in WLANs." IEEE Transactions on Mobile Computing 22. 2 (2023): 691–707. Web.
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. Web.
Published Conference Proceedings
Twardokus, Geoff, et al. "When Cryptography Needs a Hand: Practical Post-Quantum Authentication for V2V Communications." Proceedings of the Network and Distributed System Security Symposium (NDSS). Ed. N/A. San Diego, CA: Internet Society, 2024. Web.
Hoque, Naureen and Hanif Rahbari. "Deep Learning Models as Moving Targets to Counter Modulation Classification Attacks." Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). Ed. N/A. Red Hook, NY: IEEE, 2024. Web.
Hoque, Naureen and Hanif Rahbari. "Countering Relay and Spoofing Attacks in the Connection Establishment Phase of Wi-Fi Systems." Proceedings of the ACM Conference on Security and Privacy in Wireless & Mobile Networks (WiSec). Ed. N/A. New York, NY: ACM, 2023. Web.
Hoque, Naureen and Hanif Rahbari. "Circumventing the Defense against Modulation Classification Attacks,." Proceedings of the ACM Conference on Security and Privacy in Wireless & Mobile Networks (WiSec). Ed. N/A. New York, NY: ACM, 2023. Web.
Twardokus, Geoff and Hanif Rahbari. "Vehicle-to-Nothing? Securing C-V2X Against Protocol-Aware DoS Attacks." Proceedings of the IEEE Conference on Computer Communications (INFOCOM). Ed. N/A. Red Hook, NY: IEEE, 2022. Web.
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. Web.
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.
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.

Currently Teaching

CMPE-570
3 Credits
This course gives an overview of the technologies, architectures, and protocols used to build various types of computer and communication networks. The course emphasizes various network design problems and solution approaches. Specific issues covered include framing and coding, error detection, multiple access control, addressing, routing, flow and congestion control, scheduling, and switching.
CMPE-670
3 Credits
This course gives an overview of the technologies, architectures, and protocols used to build various types of computer and communication networks. The course emphasizes various network design problems and solution approaches. Specific issues covered include framing and coding, error detection, multiple access control, addressing, routing, flow and congestion control, scheduling, and switching.
CSEC-490
3 Credits
This is a capstone course for students in the cybersecurity program. Students will review a series of short modules on topics such as teamwork, project management, report writing, and presentations, and will work in teams to apply their knowledge and skills to real-world projects in various areas of cybersecurity. Projects may require performing security analysis of systems, networks, software, policies, etc., devising and implementing security solutions in real-world applications. (4th-year status and departmental approval)
CSEC-569
3 Credits
This course aims to equip students with an understanding of wireless communication concepts and wireless networks principles towards a comprehensive exploration of their vulnerabilities and security protocols. Students will also gain practical experience through a series of lab activities on wireless system administration and attack/defense techniques, along with a project typically involving software-defined radios to explore 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 and discusses various generations of security protocols for IEEE 802.11 (Wi-Fi) systems, security of cellular networks, security of wireless protocols for Internet-of-Things (IoT), and other selected trending topics such as machine learning in wireless security, connected vehicles security, and quantum-resistant protocols.
CSEC-599
1 - 6 Credits
Students will work with a supervising faculty member on a project of mutual interest. Project design and evaluation will be determined through discussion with the supervising faculty member and documented through completion of an independent study form to be filed with the department of computing security.
CSEC-669
3 Credits
This course aims to equip students with an understanding of wireless communication concepts and wireless networks principles towards a comprehensive exploration of their vulnerabilities and security protocols. Students will also gain practical experience through a series of lab activities on wireless system administration and attack/defense techniques, along with a project typically involving software-defined radios and a literature review to explore 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 and discusses various generations of security protocols for IEEE 802.11 (Wi-Fi) systems, security of cellular networks, security of wireless protocols for Internet-of-Things (IoT), and other selected trending topics such as machine learning in wireless security, connected vehicles security, and quantum-resistant protocols.

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