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AI4CCAM organised a successful workshop on cybersecurity, on December 4th in Rome, Italy, with more than 30 participants as a part of the UITP Cybersecurity committee meeting. Representatives of UITP Working Group on Artificial Intelligence (AI) were invited too.

The main goal of the workshop was to develop skills in responding to cybersecurity incidents in autonomous vehicles and intelligent transportation systems (ITS).

The workshop started with discussions on AI applications for the public transport sector, focusing on the evolution of vehicles and the current Cooperative Connected Automated Mobility (CCAM) and ITS ecosystems. The security risks introduced by these emerging technologies were discussed too.

After that, Badis Hammi, Telecom SudParis, presented AI4CCAM and introduced the issue of cybersecurity in building Trustworthy AI for Connected, Cooperative and Automated Mobility.

The workshop discussions were focused on incident response simulation where participants were split into groups to analyse the cybersecurity incidents in autonomous vehicles/intelligent transport systems and develop appropriate responses to such issues.

Participants were divided into four groups (one of which was online), with approximately 50 participants in total. Each group worked on a specific attack scenario:

• Traffic signal manipulation
• GPS spoofing attack
• Fleet-wide command injection

Participants had 45 minutes to prepare their work, divided into three key phases:

• Incident analysis
• Response planning
• Recovery and communication.

Then, up to to 15 minutes were left to present the findings.

During the concluding session, participants identified several crucial actions for incident response:

• To identify and isolate affected systems (e.g., CCAMs, traffic signals) and deploy containment measures
• To ensure the availability of backup systems and activate them as needed
• To alert relevant stakeholders promptly to coordinate an effective response.

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