A Path to Holistic Privacy in Stream Processing Systems
This addresses privacy risks for users in IoT applications, but it appears incremental as it builds on existing concerns without introducing a fundamentally new paradigm.
The paper tackles the problem of user privacy violations in real-time analytics of sensitive IoT data within stream processing systems, proposing solutions to achieve holistic privacy protection.
The massive streams of Internet of Things (IoT) data require a timely analysis to retain data usefulness. Stream processing systems (SPSs) enable this task, deriving knowledge from the IoT data in real-time. Such real-time analytics benefits many applications but can also be used to violate user privacy, as the IoT data collected from users or their vicinity is inherently sensitive. In this paper, we present our systematic look into privacy issues arising from the intersection of SPSs and IoT, identifying key research challenges towards achieving holistic privacy protection in SPSs and proposing the solutions.