Workshop on Data-Driven Analytics for Vehicle Forensics

Overview

The increasing connectivity of modern vehicles is transforming transportation systems while introducing new challenges for cybersecurity, digital forensics, privacy, and data governance. Connected and autonomous vehicles generate large volumes of data from sensors, electronic control units (ECUs), communication networks, infotainment platforms, and cloud-connected services. These developments create new opportunities for forensic investigation, incident reconstruction, and cybersecurity monitoring, but also raise important questions regarding data integrity, privacy, trust, and resilience.

This half-day workshop will bring together researchers, industry practitioners, policymakers, and technology providers to explore emerging challenges and opportunities in vehicle forensics, automotive cybersecurity, and privacy-preserving data analytics. The event aims to foster interdisciplinary collaboration, identify research priorities, and strengthen engagement between academia, industry, and government stakeholders.

Who Should Attend?

Researchers, industry practitioners, policymakers, cybersecurity professionals, digital forensic investigators, automotive engineers, and postgraduate researchers are warmly invited to register and participate in this workshop. The event offers a unique opportunity to engage with leading experts, explore emerging challenges in vehicle forensics, cybersecurity, and data privacy, and contribute to shaping future research and innovation in connected and autonomous mobility. Participants will benefit from knowledge exchange, networking opportunities, interactive discussions, and the development of potential collaborations with academic, industrial, and public sector stakeholders. Registration is free, but places are limited and advance registration is required to secure attendance.

The workshop will feature:

• Invited keynote presentations from academic and industry experts.

• Industry perspectives on emerging cybersecurity and forensic challenges.

• Panel discussions exploring future directions for automotive security and digital investigations.

Objectives

The workshop will:

• Examine current challenges in vehicle forensics and digital evidence collection.

• Explore emerging cyber threats affecting connected and autonomous vehicles.

• Discuss privacy, data governance, and regulatory considerations in automotive ecosystems.

• Identify opportunities for AI-driven vehicle forensics and cybersecurity analytics.

• Facilitate collaboration between academia, industry, and policymakers.

• Develop future research agendas and collaborative funding opportunities.

Themes

The workshop will focus on the following themes:

Vehicle Forensics and Digital Evidence

• Forensic acquisition and analysis of vehicle data

• Incident reconstruction and timeline generation

• Event Data Recorder (EDR) and ECU forensics

• Cross-platform vehicle data correlation

Automotive Cybersecurity

• Threats to connected and autonomous vehicles

• Vehicle network security and intrusion detection

• Secure vehicle-to-everything (V2X) communications

• Cyber resilience and incident response

AI and Data-Driven Security Analytics

• AI-assisted forensic investigation

• Behavioural anomaly detection

• Deep learning and LLM-assisted forensic analysis

• Synthetic attack generation and testing

Privacy and Data Governance

• Privacy-preserving vehicle analytics

• Data ownership and consent

• Regulatory and legal considerations

• Secure data sharing and evidence management

How to Apply

To apply for this workshop, interested candidates are required to register themselves on the given link by the 15th June, 2026. Any queries can be sent to Dr Neteesh Saxena at saxenan4@cardiff.ac.uk with the subject line "DDAVF Workshop". 

Spaces are limited, so we encourage you to book your seat ASAP. Candidates will be selected on a 'first come first serve' basis.

Registration link:  click here [OPEN]

We reserve the right to close the registration sooner than the deadline if the seats are full, which are limited to 20 only.

Event Summary

Workshop Duration: 23rd June 2026; 1000 - 1300 hrs (UK time)

Venue: Cardiff University, Abacws Building, Room 1.40

Contact Information

Organiser: Dr Neetesh Saxena (saxenan4@cardiff.ac.uk)

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Workshop Schedule:

0945 - 1000 hrs   - Workshop Registration 

1000 - 1005 hrs  - Welcome and Project Introduction by Neetesh Saxena 

1005 - 1025 hrs - Speaker: Richard Harding

Title: TBA

Bio: Research student at Cardiff University, researching on vehicle forensics. 

1030 - 1050 hrs - Speaker: Muhammad Yusuf Bambang

Title: Liability Attribution in Modern Vehicles: A Digital Forensic Perspective

The integration of internet connectivity and autonomous functionality in modern vehicles has significantly expanded the attack surface, making external adversaries a credible cause of vehicular incidents. Consequently, the pool of suspects in a vehicular incident now extends beyond drivers and manufacturers to include external attackers. However, from a digital forensics perspective, accurately assigning liability in such cyber-physical scenarios remains an open challenge. In this presentation, we examine how the existing automotive digital forensic addresses liability attribution and identify a critical undiscussed topic: a lack of techniques, tools, and procedural frameworks capable of delivering accurate and precise liability determinations.

Bio: Research student at Cardiff University, focusing on cybersecurity in the automotive sector.

1055 - 1115 hrs - Speaker: Shancang Li

Title: Detection and Forensic Investigation of CAN Bus Replay Attacks in Electric Vehicles via Message Authentication

The Controller Area Network (CAN) bus is a critical in-vehicle communication system that enables data exchange among electronic control units (ECUs). Despite its widespread adoption, CAN lacks inherent security mechanisms, making it vulnerable to various cyber threats due to its broadcast nature and absence of authentication. This study focuses on the forensic analysis of replay attacks on the CAN bus and presents an integrated intrusion prevention system (IPS) to support both attack detection and post-incident investigation.

Bio: Dr. Shancang Li is an Associate Professor in the School of Computer Science and Informatics at Cardiff University, UK. Dr. Li has published over 150 peer-reviewed papers in leading international journals and conferences, including top-tier venues such as IEEE TIFS and IEEE TDSC. He has demonstrated strong academic leadership, serving as Editor-in-Chief for EAI Transactions on the Internet of Things and the International Journal of Information Privacy, Security and Integrity. In addition, he has held key organizational roles, including General Chair for major conferences such as IEEE ES 2025, IEEE HCCS 2023, and EAI Broadnets 2024.

1120 - 1140 hrs - Speaker: TBA

Title:  TBA

1145 - 1200 hrs - Panel Discussion

End