Yanjun Pan (University of Arizona)

In this talk, we will explore the experimental approach for our paper "PoF: Proof-of-Following for Vehicle Platoons" that appears in NDSS 2022. We will present our initial research hypothesis on the temporal and spatial correlation of ambient RF signals due to large-scale fading and the use of the RF correlation to derive security in the context of vehicle platooning. We will describe the set of experiments that were designed to test our hypothesis in different settings (highway, urban environment, static setting, indoor setting). We will present the testbed iterations (RF testbed plus platooning testbed) to collect the desired measurements and the calibration and analysis of those measurements to validate the initial hypothesis. Further, we will share the challenges and useful experiences gained during the experimentation process and note the lesson learned for future experimental efforts.

Speaker's biography

Yanjun Pan is an assistant professor in the Department of Computer Science and Computer Engineering at the University of Arkansas. Her research interests include wireless security, wireless sensing, and network optimization, with emphases on physical layer security, mmWave sensing, and cross-layer network optimization. She holds a Ph.D. in Electrical and Computer Engineering from the University of Arizona and is a recipient of the 2021 N2Women Young Researcher Fellowship.

View More Papers

What the Fork? Finding and Analyzing Malware in GitHub...

Alan Cao (New York University) and Brendan Dolan-Gavitt (New York University)

Read More

Effects of Knowledge and Experience on Privacy Decision-Making in...

Zekun Cai (Penn State University), Aiping Xiong (Penn State University)

Read More

P4DDPI: Securing P4-Programmable Data Plane Networks via DNS Deep...

Ali AlSabeh (University of South Carolina), Elie Kfoury (University of South Carolina), Jorge Crichigno (University of South Carolina) and Elias Bou-Harb (University of Texas at San Antonio)

Read More

What You See is Not What the Network Infers:...

Yijun Yang (The Chinese University of Hong Kong), Ruiyuan Gao (The Chinese University of Hong Kong), Yu Li (The Chinese University of Hong Kong), Qiuxia Lai (Communication University of China), Qiang Xu (The Chinese University of Hong Kong)

Read More