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

Progressive Scrutiny: Incremental Detection of UBI bugs in the...

Yizhuo Zhai (University of California, Riverside), Yu Hao (University of California, Riverside), Zheng Zhang (University of California, Riverside), Weiteng Chen (University of California, Riverside), Guoren Li (University of California, Riverside), Zhiyun Qian (University of California, Riverside), Chengyu Song (University of California, Riverside), Manu Sridharan (University of California, Riverside), Srikanth V. Krishnamurthy (University of California, Riverside),…

Read More

Building Embedded Systems Like It’s 1996

Ruotong Yu (Stevens Institute of Technology, University of Utah), Francesca Del Nin (University of Padua), Yuchen Zhang (Stevens Institute of Technology), Shan Huang (Stevens Institute of Technology), Pallavi Kaliyar (Norwegian University of Science and Technology), Sarah Zakto (Cyber Independent Testing Lab), Mauro Conti (University of Padua, Delft University of Technology), Georgios Portokalidis (Stevens Institute of…

Read More

MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing

Gen Zhang (National University of Defense Technology), Pengfei Wang (National University of Defense Technology), Tai Yue (National University of Defense Technology), Xiangdong Kong (National University of Defense Technology), Shan Huang (National University of Defense Technology), Xu Zhou (National University of Defense Technology), Kai Lu (National University of Defense Technology)

Read More

FedCRI: Federated Mobile Cyber-Risk Intelligence

Hossein Fereidooni (Technical University of Darmstadt), Alexandra Dmitrienko (University of Wuerzburg), Phillip Rieger (Technical University of Darmstadt), Markus Miettinen (Technical University of Darmstadt), Ahmad-Reza Sadeghi (Technical University of Darmstadt), Felix Madlener (KOBIL)

Read More