Ground and aerial vehicles such as cars, buses, trucks, airplanes, and drones make the whole world increasingly convenient and connected. Due to their growing usage and highly safety-critical nature, security/privacy problems pose direct threats to passengers, owners, operators, as well as the environment. Recently, there has been a substantial demand to increase vehicle autonomy and connectivity, such as autonomous driving, drone delivery, vehicle-to-everything (V2X) communication, intelligent transportation, and drone swarm. Such trends further exacerbate security/privacy problems and require urgent attention from both academia and industry. To meet this critical need, the AutoSec workshop will bring together an audience including university researchers, scientists, industry professionals, and government representatives to contribute to new theories, technologies, and systems for security/privacy challenges in all kinds of current and emerging vehicles, and their supporting infrastructures, especially on the emerging technologies such as autonomy, driver assistance, and connectivity.

AutoSec 2022 will be held in a hybrid fashion in conjunction with the Network and Distributed System Security Symposium (NDSS) 2022.

Demo session: AutoSec will feature a demo session to allow academic researchers and industry companies to share demonstrations of their latest attacks, defenses, tools, or systems on automotive and autonomous vehicles.

Awards: All accepted papers and demos will be considered for Best Paper Award and Best Demo Award. The winner and runner-up will win cash prizes. In addition, a special AutoDriving Security Award will be given to one of the accepted papers to recognize and reward research that makes substantial contributions to secure today’s emerging autonomous driving technology. We may also provide a few Travel Awards for students with paper/demo contributions.

Areas of Interest
Topics of interest include, but are not limited to:

Embedded/sensor/analog security and forensics
Secure perception, localization, and planning in autonomous vehicles
Safety/security verification for autonomous driving/flight
In-vehicle network, e.g., CAN bus, and Vehicle-to-everything (V2X) security
Compliance with legal, safety, and environmental policies
Secure integration of hardware and software systems for automotive and aerial vehicles
Secure software/hardware updates in automotive and aerial vehicle settings
Privacy challenges in automotive and aerial vehicle settings, e.g., driver and passenger privacy, drone spying, etc.
Privacy-preserving data sharing and analysis in automotive and aerial vehicle settings
Electric/medium/heavy-duty vehicle system security
Security/privacy in Intelligent Transportation System (ITS), e.g., vehicle platooning
Supporting infrastructure, e.g., charging, security for automotive and aerial vehicles
Secure software/hardware development, e.g., debugging tools, emulators, testbed
Submission Instructions
We accept (1) regular papers with up to 6 pages, (2) short position papers or work in progress papers with up to 4 pages, and (3) demo papers with up to 1 page, all in double-column NDSS format. The page limits do not include bibliography and well-marked appendices, which can be up to 2 pages long for each regular or short/work-in-progress paper, and up to 1 page long for each demo paper.


Submissions can be anonymized for review, but this is not required. Demo papers must have “Demo:” in their titles. Submission of papers and demos is through the Easychair conference system at https://easychair.org/conferences/?conf=autosec2022

The proceedings will be published by the Internet Society after NDSS.

Important Dates
Paper Submission Deadline: Anywhere-on-earth (AOE) January 3, 2022 --- extended January 10, 2022
Notification of Acceptance: January 27, 2022
Camera Ready Submission: February 3, 2022

Conference Date: Feb 27, 2022

Program Co-Chairs
Qi Alfred Chen, University of California, Irvine
Ziming Zhao, University at Buffalo
Z. Berkay Celik, Purdue University


Technical Program Committee
Houssam Abbas, Oregon State University
Antonio Bianchi, Purdue University
Gedare Bloom, University of Colorado Colorado Springs
Alvaro Cardenas, University of California Santa Cruz
Stephen Checkoway, Oberlin College
Dongyao Chen, Shanghai Jiao Tong University
Michael Clifford, Toyota
Jeremy Daily, Colorado State University
Soteris Demetriou, Imperial College London
Tom Forest, GM
Ryan Gerdes, Virginia Tech
Guofei Gu, Texas A&M University
Shengjian Guo, Baidu Security
Xiali Hei, University of Louisiana at Lafayette
Bardh Hoaxa, Toyota Research Institute North America
Hongxin Hu, University at Buffalo
Shalabh Jain, Bosch Research
Xiaoyu Ji, Zhejiang University
Zbigniew T. Kalbarczyk, University of Illinois at Urbana-Champaign
Taegyu Kim, Purdue University and Pennsylvania State University
Vireshwar Kumar, IIT Delhi
Ming Li, University of Arizona
Zhiqiang Lin, Ohio State University
Peng Liu, Pennsylvania State University
Xiapu Luo, HongKong Polytechnic University
Ben Nassi, Ben-Gurion University of the Negev
Miroslav Pajic, Duke University
Karthik Pattabiraman, University of British Columbia
Mert Pesé, University of Michigan
Jonathan Petit, Qualcomm
Sara Rampazzi, University of Florida
Indrakshi Ray, Colorado State University
Kemal Tepe, GM
Dave (Jing) Tian, Purdue University
Yuan Tian, University of Virginia
André Weimerskirch, Lear Corporation
Luyi Xing, Indiana University
Fengwei Zhang, Southern University of Science and Technology
Ning Zhang, Washington University at St. Louis
Qi Zhu, Northwestern University

Steering Committee
Gail-Joon Ahn, Arizona State University
David Balenson, SRI International
Chunming Qiao, University at Buffalo
Mani Srivastava, University of California, Los Angeles
Gene Tsudik, University of California, Irvine