DPMon: A differentially-private query engine for passive measurements
Martino Trevisan · Computer Networks · 2026
Passive monitoring is a network measurement technique which analyzes the traffic carried by an operational network. Ithas several applications for traffic engineering, Quality of Experience monitoring and cyber security. However, it entailsthe processing of personal information, thus, threatening users’ privacy.In this work, we propose DPMon, a tool to run privacy-preserving queries to a dataset of passive network measurements.It exploits differential privacy to perturb the output of the query to preserve users’ privacy. DPMon can exploit big datainfrastructures running Apache Spark and operate on different data formats. We show that DPMon allows extractingmeaningful insights from the data, while at the same time controlling the amount of disclosed information.