Elliptic Curves for Data Provenance

Securing provenance data in distributed environment is a challenge and with the rapid increase in its size, volume and variety it becomes more challenging. Provenance data are more sensitive than actual data as they include the workflow or the chain kind of structure. A little change can be disastrous. There are various existing security algorithms and frameworks but distributed nature of infrastructure and large volume of data makes the implementation of existing security models very complex. This paper discusses the security challenges of provenance data and proposes a secure way to store provenance data in highly distributed infrastructure.