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Explore a 16-minute conference presentation that introduces a groundbreaking privacy-preserving approach to electric vehicle charging infrastructure. Learn how researchers from Darmstadt University of Applied Sciences, University of Passau, and Honda Research Institute Europe have developed an innovative solution using Oblivious Random Access Machine (ORAM) technology to address critical privacy concerns in the rapidly expanding EV charging ecosystem. Discover how the current Plug-and-Charge (PnC) standard, while enabling seamless authentication and billing without user interaction, creates significant privacy vulnerabilities by allowing e-Mobility service providers and charging station operators to build detailed profiles of users' travel patterns and habits. Understand the technical implementation of their novel ORAM-based privacy-preserving database system that aggregates EV consumption data at charging stations while preventing operators from linking individual charging sessions to specific vehicles. Examine how this approach ensures that service providers receive only aggregated consumption data over complete billing periods rather than detailed information about individual charging sessions, effectively protecting user privacy without compromising the functionality of modern EV charging infrastructure.
