Enabling Privacy-preserving Multidimensional Network Telemetry with Autoencoders

Network telemetry systems are essential for monitoring network traffic and informing management decisions. However, increasing privacy concerns make user data access and analysis challenging for operators. We introduce PrvTel, a privacy-preserving telemetry system that uses an AutoEncoder model to encode user traffic data and preserve telemetry query ability with differential privacy guarantees. PrvTel features a lightweight model to be stored, facilitates quick training, and executes queries with minimal delay.