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 …

The high temperature catalytic oxidation (HTCO)–discrete injection method for liquid
samples is currently the preferred analytical technique for the determination of dissolved …

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 …

In e-Science experiments, it is vital to record the experimental process for later use such as
in interpreting results, verifying that the correct process took place or tracing where data …

Blockchain has been a promising infrastructure for enabling secure data sharing for the
Internet of Things (IoT). With the widespread of IoT applications, security issues, such as …

This document covers the logical and process architectures of provenance systems. The
logical architecture identifies key roles and their interactions, whereas the process …

Both the scientific and business communities, which are beginning to rely on Grids as
problem-solving mechanisms, have requirements in terms of provenance. The provenance …

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 …

The importance of understanding the process by which a result was generated in an
experiment is fundamental to science. Without such information, other scientists cannot …

The nonlinear response of a gas bubble to a low frequency ωp pum** wave results in
parametrically-generated shape oscillations above a well-defined threshold. This may be …