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

DrawnApart: A Deep-Learning Enhanced GPU Fingerprinting Technique

Naif Mehanna (University of Lille, CNRS, Inria), Tomer Laor (Ben-Gurion University of the Negev)

Read More

Uncovering Cross-Context Inconsistent Access Control Enforcement in Android

Hao Zhou (The Hong Kong Polytechnic University), Haoyu Wang (Beijing University of Posts and Telecommunications), Xiapu Luo (The Hong Kong Polytechnic University), Ting Chen (University of Electronic Science and Technology of China), Yajin Zhou (Zhejiang University), Ting Wang (Pennsylvania State University)

Read More

hbACSS: How to Robustly Share Many Secrets

Thomas Yurek (University of Illinois at Urbana-Champaign), Licheng Luo (University of Illinois at Urbana-Champaign), Jaiden Fairoze (University of California, Berkeley), Aniket Kate (Purdue University), Andrew Miller (University of Illinois at Urbana-Champaign)

Read More

Taking a Closer Look at the Alexa Skill Ecosystem

Christopher Lentzsch (Ruhr-Universität Bochum), Anupam Das (North Carolina State University)

Read More