Scientific workflows are today a vital tool for computational science, enabling the definition and execution of complex applications in heterogeneous and often distributed environments. A key characteristic of scientific workflow applications is that they often require the massive processing of an enormous amount of data that, in many cases, convey personal information. To allow an efficient and transparent privacy compliance check process, in this paper, we propose a blockchain-based solution coupled with an ad-hoc index structure that makes it possible an efficient compliance check for a massive amount of data.

The Internet of Things (IoT) pervades our lives every day and has given end users the opportunity of accessing personalized and advanced services based on the analysis of the sensed data. However, IoT services are also characterized by new challenges related to security and privacy because end users often share sensitive data with different consumers without precise knowledge of how they will be managed and used. To cope with these issues, we propose a blockchain-based privacy enforcement framework where users can define how their data can be used and check if their will is respected without relying on a centralized manager. The preliminary tests we performed, simulating different scenarios, show the feasibility of our approach.