Presentation
Time:
Ph.D. Dissertation Defense: Philip Oguchi
Date:
8:00 am –
9:30 am
Schorr Center
Room: 211
1100 T St
Lincoln NE 68588
Lincoln NE 68588
Additional Info: SHOR
Virtual Location:
Zoom
Target Audiences:
Additional Info: Meeting ID: 928 3325 4609
“Authentication and Message Integrity Verification for Vehicular and Underground Wireless Networks”
Wireless networks permeate our environment, encompassing devices in our homes to critical systems in autonomous vehicles and underground networks. In this presentation, I will show our novel methods for trust-establishment in unconventional wireless settings, focusing on underground wireless networks and autonomous vehicle systems. By leveraging hard-to-forge physical-layer characteristics such as received signal strength (RSS), channel impulse response (CIR), and trajectory-motion vectors (TMV), the presentation will highlight how our secret-free trust establishment protocols enhance security, scalability and robustness. Case studies will encompass our STUN protocol for agricultural Internet of Things (AgIoT), location fingerpinting using channel information, and the VET framework for vehicular communication. Attendees will gain insights of the system, threat models and how robust our system is to various attacks.
Committee:
Dr. Nirnimesh Ghose, Advisor
Dr. Can Vuran
Dr. Max Pierobon
Dr. Yi Qian
Wireless networks permeate our environment, encompassing devices in our homes to critical systems in autonomous vehicles and underground networks. In this presentation, I will show our novel methods for trust-establishment in unconventional wireless settings, focusing on underground wireless networks and autonomous vehicle systems. By leveraging hard-to-forge physical-layer characteristics such as received signal strength (RSS), channel impulse response (CIR), and trajectory-motion vectors (TMV), the presentation will highlight how our secret-free trust establishment protocols enhance security, scalability and robustness. Case studies will encompass our STUN protocol for agricultural Internet of Things (AgIoT), location fingerpinting using channel information, and the VET framework for vehicular communication. Attendees will gain insights of the system, threat models and how robust our system is to various attacks.
Committee:
Dr. Nirnimesh Ghose, Advisor
Dr. Can Vuran
Dr. Max Pierobon
Dr. Yi Qian
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This event originated in School of Computing.