Ground and aerial vehicles, such as cars, buses, trucks, airplanes, and drones make the whole world convenient and connected. Due to their wide usage and high safety criticality, any security/privacy problems in them pose direct threats to users and stakeholders in transportation. With the recent global interest in substantially increasing their autonomy and connectivity, including autonomous driving, drone delivery, vehicle-to-everything (V2X) communication, intelligent transportation, and drone swarm technologies, such problems become more critical than ever and thus require immediate attention and discussion in both academia and industry. To meet this critical need, the 3rd International Workshop on Automotive and Autonomous Vehicle Security (AutoSec) is organized to bring together audience including university researchers, scientists, and industry professionals to contribute to new theories, technologies, and systems related to security and privacy challenges in automotives, aerial vehicles, and their supporting infrastructures, especially for their emerging autonomy and connectivity technologies. AutoSec 2021 will be held virtually in conjunction with the Network and Distributed System Security Symposium (NDSS) 2021.

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, sponsored by UCI CS and UB CSE. 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.

Submission Guidelines:

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.

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=autosec2021.

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



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



Important Dates
Paper Submission Deadline: Anywhere-on-earth (AOE) January 4, 2021
Notification of Acceptance: January 31, 2021
Camera Ready Submission: February 5, 2021
Conference Date: Feb 21, 2021



Program Co-Chairs
Qi Alfred Chen, University of California, Irvine
Ziming Zhao, University at Buffalo
Gail-Joon Ahn, ASU and Samsung Research



Technical Program Committee
Gedare Bloom, University of Colorado Colorado Springs
Alvaro Cardenas, University of California Santa Cruz
Stephen Checkoway, Oberlin College
Dongyao Chen, Shanghai Jiao Tong University
Jeremy Daily, Colorado State University
Sriharsha Etigowni, Purdue University
Tom Forrest, General Motors
Ryan Gerdes, Virginia Tech
Xiali Hei, University of Louisiana at Lafayette
Hongxin Hu, Clemson University
Zbigniew T. Kalbarczyk, University of Illinois at Urbana-Champaign
Taegyu Kim, Purdue University
Karl Koscher, University of Washington
Sekar Kulandaivel, Carnegie Mellon University
Kang Li, Baidu, Inc.
Chung-Wei Lin, National Taiwan University
Zhiqiang Lin, the Ohio State University
Peng Liu, Pennsylvania State University
Morley Mao, University of Michigan
Karthik Pattabiraman, University of British Columbia
Mert Pesé, University of Michigan
Jonathan Petit, Qualcomm
Hanif Rahbari, Rochester Institute of Technology
Indrakshi Ray, Colorado State University, USA
David Starobinski, Boston University
Yuan Tian, University of Virginia
André Weimerskirch, Lear Corporation
Shengzhi Zhang, Boston University
Fengwei Zhang, Southern University of Science and Technology
Ning Zhang, Washington University at St. Louis