Workshop openings

Dario Stabili and Pal-Stefan Murvay

Session #1 - Security for Vehicle Perception Systems

Securing the Lane: Defences Against Patch Attacks on Autonomous Vehicle's Lane Detection

Romana Blazevic, Alexander Toch, Omar Veledar and Georg Macher

The Image Scaling Attack: Unveiling the Risks in Traffic Sign Classification

Aliza Katharina Reif, Tarek Stolz, Stjepan Picek, Oscar Hernan Ramírez-Agudelo and Michael Karl

STOP! Camera Spoofing via the in-Vehicle IP Network

Dror Peri and Avishai Wool

Coffee Break

Session #2 - Security for Autonomous and Electric Vehicle Systems

Concept Drift Management in Edge-AI for Autonomous Vehicles

Rohit Ravichandran, Mahshid Mehr and Carsten Maple

Self-sovereign Identities for Software-defined Vehicles

Christian Prehofer

CheckOCPP: Automatic OCPP Packet Dissection and Compliance Check

Soumaya Boussaha, Victor Fresno Gomez, Daniele Antonioli and Thomas Barber

AVATAR: Adversarial Vehicle Trajectory Attack Targeting Autonomous Driving Planner

Jiadong Liu and Tatsuya Mori

Lunch

Industrial Keynote

Anastasia Cornelio, Ferrari S.p.A.

Cybersecurity and Sport Cars

The mail trends in vehicle electronical architecture are the increasing of vehicle functionalities and the spreading of the Software Defined Vehicles. These aspects, together with the limited resources and reliability needs of automotive systems, represent the main challenges of the automotive cybersecurity. In this presentation we show the evolutions of the automotive cybersecurity, including the regulatory aspect and the impacts on the development phase and the entire vehicle lifecycle.

Academic Keynote

Prof. Sara Rampazzi, University of Florida

Building Autonomous Vehicle Security from Untrustworthy Hardware and Sensors

Physics-based vulnerabilities challenge traditional cybersecurity schemes by generating unexpected interactions that affect both electronic components and high-level software applications governing autonomous systems' automatic decisions. In this talk, I will describe security vulnerabilities of sensing technologies that occur at the boundary between hardware electronics and software frameworks, including machine learning and sensor fusion models. I will demonstrate how these interactions can compromise the integrity, availability, and confidentiality of vehicle operations, and how combinations of software and hardware mitigation techniques can make autonomous systems resilient to such attacks.

Coffee Break

Session #3 - Industry Insights and Standardization for Auomotive Cybersecurity

A Data Informed Approach to Modeling of ISO 21434 Work Products and Estimation of Maturity - A Point of View of a Tier 1 Supplier

Steve Dean and Vivek Agrawal

Security in Automotive: Standardization of Hardware Protected Security Environments

Francesca Forestieri, Gil Bernabeu and Richard Hayton

Panel Discussion

Impacts of AI applications on automotive systems

Panel participants: (TBA)

Closing remarks

Dario Stabili and Pal-Stefan Murvay