Privacy-Preserving Telemetry Pipelines for Connected EV Platforms

Abstract

Author(s): Priya Rossi, Elena Gonzalez, Omar Kim. This study explores privacy-preserving telemetry pipelines for connected ev platforms with a focus on practical engineering trade-offs in modern cloud-native environments. We present an implementation-driven methodology, reference architectures, and evaluation criteria that teams can adopt in privacy engineering programs. Results highlight measurable improvements in reliability, security posture, and end-user performance when the proposed practices are applied.