Privacy-preserving data aggregation in Intelligent Transportation Systems
Catalin Gosman, Ciprian Dobre, Florin Pop · 2017
Intelligent Transportation Systems(ITS) demonstrate innovative services relating to different modes of transport and traffic management. For this, ITS rely on data collected by volunteer users in traffic. The aggregated information collected periodically offers the possibility to learn general statistics and provides ITS users with a common traffic view. For user's sensitive data, it is desired to hide individual values from other participants, but also from the ITS data aggregator, because this could disclose sensitive information. Therefore, we propose a schema for privacy-preserving aggregation based on symmetric cryptography of time-series data applicable for ITS applications.