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VehicleSec 2023 : Inaugural ISOC Symposium on Vehicle Security & Privacy, VehicleSec, co-located with NDSS'23: Submission Due in 2 Months, *Jan 3*

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Link: https://www.ndss-symposium.org/ndss2023/submissions/cfp-vehiclesec/
 
When Feb 27, 2023 - Feb 27, 2023
Where San Diego
Submission Deadline Jan 3, 2023
Notification Due Feb 10, 2023
Final Version Due Feb 17, 2023
Categories    security   automotive security   cybersecurity   uav security
 

Call For Papers

Call for Papers: Inaugural ISOC Symposium on Vehicle Security and Privacy (VehicleSec 2023)

https://www.ndss-symposium.org/ndss2023/submissions/cfp-vehiclesec/

Co-located with NDSS 2023, San Diego, CA (Hybrid)

(Previously AutoSec w/ NDSS:https://www.ndss-symposium.org/ndss-program/autosec-2022/)


A vehicle is a machine that transports people and/or cargo in one or more physical
domains, such as on the ground (e.g., cars, bicycles, motorcycles, trucks, buses, scooters, trains), in the air (e.g., drones, airplanes, helicopters, spacecraft), and under water (ships, boats, watercraft). Due to their safety-critical nature, the security
and privacy of vehicles can pose direct threats to passengers, owners, operators, as well as the environment. Recent improvements in vehicle autonomy and connectivity (e.g., autonomous driving, drone delivery, vehicle-to-everything (V2X) communication, intelligent
transportation, drone swarm), have only served to exacerbate security and privacy challenges and thus require urgent attention from academia, industry, and policy-makers. To meet this critical need, the VehicleSec symposium aims at bringing together an audience
of university researchers, scientists, industry professionals, and government representatives to contribute new theories, technologies, and systems on
any security/privacy issues related to vehicles
(e.g., ground, aerial, underwater), their sub-systems
(e.g., in-vehicle networks, autonomy, connectivity, human-machine interfaces), supporting infrastructures
(e.g., transportation infrastructure, ground control station), and related
fundamental technologies (e.g., sensing, control, AI/ML, real-time
computing, location service, simulation, digital twin, etc.).


VehicleSec 2023 will be a hybrid event, in conjunction with the Network and
Distributed System Security Symposium (NDSS) 2023 at San Diego, CA.


Community Reception.
VehicleSec will host a reception as a community social event on the night of the symposium (Feb 27, 2023), with refreshments such as food and drinks.


Demo/Poster Session:
VehicleSec will feature a demo/poster session (in-person) to allow academic, governmental, and industry participants to present posters and/or share demonstrations of their latest attacks, defenses, and security/privacy tools or systems related to vehicles.


Lightning Talk Session:
The symposium will feature a Lightning Talks session with short and engaging 5-minute "live" (in-person) presentations on any topics that can be worth a timely shout-out to the VehicleSec community, which includes but not limited to emerging hot topics, preliminary
research results, practical problems encountered, lessons learned, the introduction of tutorials and education materials, tips and tricks, simulators/simulations, data and visualizations (e.g., autonomous driving datasets), or other (interdisciplinary) topics
related to vehicles.


Awards:
Accepted papers and demos/posters will be considered for a
Best Paper Award
and Best Demo/Poster Award.
The winner and runner-up will receive cash prizes. In addition, a special AutoDriving Security Award,
with a cash prize,
will be given to one of the accepted papers to recognize and reward
research that makes substantial contributions to secure today’s autonomous driving technology.


Travel Grants:
Selected students will be provided with support to attend the symposium in person.


Submission Guidelines for Papers/Demos/Posters:

We accept (1)
regular papers
of 6-8 pages, (2)
short position papers
or
work-in-progress (WIP)
papers up to 4 pages,
and (3) demo/poster
papers up to 1 page,
all in double-column NDSS format. Page limits exclude bibliography and well-marked appendices. There is no limit on the length of the bibliography and appendices at submission time, but reviewers are not required to read any appendices so the paper should
be self-contained without them. For regular papers, shorter papers won't be penalized; thus, authors are encouraged to submit papers of appropriate length based on the research contribution.


Submissions should be anonymized for review but this is not required. Demo/poster/short/WIP
papers must have the prefix "Demo:"/”Poster:”/”Short:”/”WIP:” in their titles. The submission portal will be released soon.


The proceedings will be published and archived by the Internet Society (ISOC).


Submission Guidelines for Lightning Talks:

Please submit your Lightning Talk title and abstract (200 words or less) for
full consideration via the Lightning Talk submission form below by February
3, 2023. Lightning Talk abstracts will be published on the symposium
website.

https://forms.gle/XLZBeYNLyNw8d4Pa9

All submissions must include the presenter's name, affiliation, and contact information.

Please note that the presenter must make all submissions. Submissions from PR firms will be rejected without review.

Time limits will be strictly enforced.

For additional information regarding Lightning Talks, do not hesitate to contact the Lightning Talk Chair Ming Li at lim@arizona.edu.


Topics of interest include but are not limited to:

Embedded/sensor/analog/actuator security, privacy, and forensics in vehicle settings

Vehicle-related malware/firmware analysis

Secure/resilient/trustworthy/privacy-preserving perception, localization, planning, and control in autonomous/automated vehicles

Security/safety/robustness verification related to vehicles

Intra- and inter-vehicle network (e.g., CAN bus, V2X, remote operator channel) security

Multi-vehicle coordination/cooperation (e.g., V2X, drone swarm) security

Compliance with policies (e.g., legal, security, privacy, safety, and environmental policies)

Secure integration of hardware and software systems for vehicles (e.g., ground, aerial)

Secure software/hardware updates in vehicle settings (e.g., cars, drones, airplanes)

Privacy challenges in vehicle settings, e.g., driver/passenger privacy, drone/car/robot spying, intellectual property stealing, etc.

Privacy-preserving data sharing and analysis in vehicle settings

Security/privacy in electric, medium- and heavy-duty vehicle systems

Security/privacy in Intelligent Transportation Systems (ITS), e.g., intelligent traffic light

Security/privacy for vehicle-related supporting infrastructure (e.g., charging)

Secure vehicle-related software/hardware development process (e.g., debugging tools, simulators, testbed) and their own security/privacy

Security/privacy of any vehicle-related fundamental technologies (e.g., sensing, control, AI, location service, IoT, etc.)

Human factors, trust, humans in the loop, and usable security related to vehicles

Security/privacy/resilience-related metrics and risk assessment for vehicles



Important Dates

Paper/Poster/Demo Submission Deadline:
Anywhere-on-earth (AOE) January 3, 2023

Lightning Talk Submission Deadline: February 3, 2023

Notification of Acceptance: February 10, 2023

Camera Ready Submission: February 17, 2023

Symposium Date: February 27, 2023

Community Reception Date: February 27, 2023 (at night)



General Chairs

Alfred Chen, University of California, Irvine

Ziming Zhao, University at Buffalo


Program Chairs

Z. Berkay Celik, Purdue University

Ryan Gerdes, Virginia Tech


Lightning
Talk Chair

Ming
Li, University of Arizona


Demo/Poster Chair

Sara Rampazzi, University of Florida


Web
Chair

Mert
Pesé, Clemson University


Publication
Chair

Aiping
Xiong, Penn State University


Travel
Grant Chair

Hyungsub
Kim, Purdue University


Technical Program Committee


Houssam Abbas, Oregon State University

Qadeer Ahmed, Ohio State University

Antonio Bianchi, Purdue University

Gedare Bloom, U of Colorado Colorado Springs

Yulong Cao, University of Michigan

Alvaro Cardenas, University of California Santa Cruz

Dongyao Chen, Shanghai Jiao Tong University

Michael Clifford, Toyota

Jeremy Daily, Colorado State University

Bruce DeBruhl, Cal Poly

Soteris Demetriou, Imperial College London

Georgios Fainekos, Toyota Research Institute of N. America

Yiheng Fen, Purdue University

Earlence Fernandes, U of California San Diego

Tom Forest, General Motors

Xiali Hei, University of Louisiana at Lafayette

Bardh Hoaxa, Toyota Research Institute of N. America

Hongxin Hu, University at Buffalo

Murtuza Jadliwala, U of Texas at San Antonio

Xiaoyu Ji, Zhejiang University

‪Yongdae Kim, KAIST

Chung Hwan Kim, University of Texas at Dallas

Taegyu Kim, Pennsylvania State University

Hyungsub Kim, Purdue University

Vireshwar Kumar, IIT Delhi

Ming Li, University of Arizona

Xiaojing Liao, Indiana University

Zhiqiang Lin, Ohio State University

Peng Liu, Pennsylvania State University

Wenjing Lou, Virginia Tech

Mulong Luo, Cornell University

Eleonora Losiouk, University of Padua

Xiapu Luo, HongKong Polytechnic University

Miroslav Pajic, Duke University

Christos Papadopoulos, University of Memphis

Karthik Pattabiraman, University of British Columbia

Mert Pesé, Clemson University

Jonathan Petit, Qualcomm

Sara Rampazzi, University of Florida

Indrakshi Ray, Colorado State University

Neetesh Saxena, Cardiff University

Khaled Serag, Purdue University

Weisong Shi, Wayne State University

Yasser Shoukry, University of California, Irvine

David Starobinski, Boston University

Dave (Jing) Tian, Purdue University

Yuan Tian, University of Virginia

Lan Wang, University of Memphis

André Weimerskirch, Lear Corporation

Aiping Xiong, Pennsylvania State University

Luyi Xing, Indiana University

Qiben Yan, Michigan State University

Min Yang, Fudan University

Fengwei Zhang, Southern U of Science & Technology

Ning Zhang, Washington University at St. Louis

Qi Zhu, Northwestern University



Steering Committee


Gail-Joon Ahn, Arizona State University

David Balenson, USC Information Sciences Institute

Chunming Qiao, University at Buffalo

Mani Srivastava, University of California, Los Angeles

Gene Tsudik, University of California, Irvine

Dongyan Xu, Purdue University

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