It is extremely difficult to track down the original source of sensitive data from a variety of
sources in the cloud during transit and processing. For instance, data provenance, which …

With the fast-growing Internet technology, several service-based interactions are prevalent
and appear in several forms such as e-commerce, content provider, Virtual Organizations …

Provenance, ie, the origin or source of something, is becoming an important concern, since it
offers the means to verify data products, to infer their quality, to analyse the processes that …

Provenance in scientific workflows is a double-edged sword. On the one hand, recording
information about the module executions used to produce a data item, as well as the …

While provenance research is common in distributed systems, many proposed solutions do
not address the security of systems and accountability of data stored in those systems. In this …

Scientific workflow systems increasingly store provenance information about the module
executions used to produce a data item, as well as the parameter settings and intermediate …

Modern scientific workflow systems lack strong support for protecting the scientific data and
their provenance from being forged or altered. As a result, scientists may be misled into …

Organizations that collect and analyze data may wish or be mandated by regulation to justify
and explain their analysis results. At the same time, the logic that they have followed to …

Data workflow systems (DWFSs) enable bioinformatics researchers to combine components
for data access and data analytics, and to share the final data analytics approach with their …

Scientific workflows are becoming increasingly popular for compute-intensive and data-
intensive scientific applications. The vision and promise of scientific workflows includes …