Workshop on Trust and Security in Electric and Autonomous Vehicles (EAVSec)

in conjunction with the 25^th IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGrid) 19-22 May 2025 – Tromsø, Norway

EAVSec Workshop: May 19

The Electric Vehicle (EV) and Autonomous Vehicle (AV) industries are at the forefront of reshaping urban mobility and advancing smart city ecosystems. EVs reduce emissions and contribute to sustainable energy usage while AVs improve road safety and optimise traffic flow through automation. Combined with advancements in connected infrastructure and cloud systems, these technologies are transforming transportation and energy management making them pivotal to modern smart cities. However, the integration of EVs, AVs and charging infrastructure with cloud-based systems and urban grids introduces significant security and trust challenges. The complexity of heterogeneous systems, varied protocols and increasing reliance on data-sharing across multiple entities requires innovative solutions to ensure resilience and security.

The EAVSec Workshop is designed for researchers, practitioners, and industry professionals involved in the domains of EV/AV systems, cybersecurity, energy grids, and intelligent transportation systems. It will provide a platform for discussing cutting-edge research, real-world challenges, and solutions for improving the trustworthiness and security of EV and AV ecosystems. It is of interest to those focusing on cybersecurity, zero-trust architectures, secure communication protocols, and real-time data analytics for cloud-enabled EV/AV infrastructures.

Workshop Themes

This workshop invites original research papers outlining new findings, problems with the literature, real-world applications, case studies, and commercial applications are encouraged. To advance the conversation, research in progress, opinion, visionary and student papers are also encouraged to submit. Topics of interest include, but are not limited to:

• Trust and Security Frameworks for EV and AV Charging Networks: Novel approaches to ensure secure communication, data protection, and privacy within charging networks for EVs and AVs, including Zero Trust Architecture (ZTA) and advanced cryptographic protocols.
• Vulnerabilities in Charging Protocols and Standards: Analysis of charging protocols (such as ISO 15118) and associated vulnerabilities, including potential risks in wireless charging for AVs and secure vehicle-to-charger authentication.
• Interconnection of Charging Stations with Energy Grids: Research on trust and security challenges related to the grid’s integration with EV charging stations, secure grid communication, and the effects of real-time data exchange on grid stability.
• Threat Detection and Intrusion Prevention in Charging Infrastructures: Development of Intrusion Detection Systems (IDS) and threat response mechanisms to address cyber threats specific to charging stations, as well as machine learning approaches to monitor and respond to abnormal activities.
• Fault Detection and Resilience in Charging Station Components: Innovative solutions for identifying, diagnosing, and mitigating faults in charging infrastructure components, including power converters, connectors, and communication modules, to ensure a reliable charging experience.
• Privacy and Data Protection in EV/AV and Cloud Platforms: Techniques for anonymising user data, secure storage and transmission methods and privacy-preserving architectures for both EV and AV users within cloud-connected platforms.
• Impact of Cyber Threats on the EV/AV-Grid Ecosystem: Examination of the effects of cyberattacks, such as distributed denial-of-service (DDoS) attacks or resumption attacks, on EV/AV-grid stability, including mitigation techniques to enhance system resilience.
• Secure Cloud Computing for Real-Time Analytics in EV and AV Systems: Trust models, data encryption and secure analytics for predictive maintenance, real-time monitoring, and decision-making within cloud-enabled EV and AV infrastructures.
• Edge Intelligence in EV/AV Ecosystem: Leveraging edge computing to enable secure, low-latency data processing and real-time decision-making in EV and AV systems.

Important Dates

• Paper Submission Deadline: February 21, 2025
• Notification of Acceptance: March 7, 2025
• Camera-Ready Submission: March 14, 2025
• Workshop Date: May 19, 2025

All times are Anywhere on Earth.

Submission Guidelines

• Papers should follow the IEEE conference format and not exceed 8 pages in IEEE double-column format, including references.
• Submissions must be made electronically via EasyChair.
• At least one author of an accepted paper must register for the conference and present their work.
• All submissions will undergo a single-blind peer-review process. Accepted papers will be published in the CCGrid2025 workshop proceedings, to be published online in the IEEE Xplore digital library.

• Authors can also submit 1 page abstract discussing initial ideas included only on the workshop page (not in the proceedings).

Workshop Chairs

• Devki Nandan Jha, Newcastle University, UK
• Tomasz Szydlo, Newcastle University, UK
• Bo Wei, Newcastle University, UK
• Omer Rana, Cardiff University, UK

Workshop Technical Program Committee

• Rajiv Ranjan, Newcastle University, UK
• Savvas Papagiannidis, Newcastle University, UK
• Omprakash Kaiwartya, Nottingham Trent University, UK
• Albert Zomaya, University of Sydney, Australia
• Rigel Djomemo, University of Illinois Chicago, USA
• Prem Prakash Jayaraman, Swinburne University of Technology, Australia
• Neetesh Kumar, IIT Roorkee, India
• Nitin Auluck, IIT Ropar, India
• Massimo Villari, University of Messina, Italy
• Maciej Wielgosz, Norwegian Institute of Bioeconomy Research, Norway
• Fauzia Abro, Royal Holloway University of London, UK
• Eiman Kanjo, Nottingham Trent University/Imperial College, UK

Workshop Structure: The workshop will be divided into paper presentation, lightening talks and a round-table panel discussion.