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 …

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 …

As organizations become increasingly reliant on cloud computing for servicing their data
storage requirements, the need to govern access control at finer granularities becomes …

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 …

Provenance is a directed acyclic graph that explains how a resource came to be in its
current form. Traditional access control does not support provenance graphs. We cannot …

With the development of computing and communication technologies, an extremely large
amount of data has been collected, stored, utilized, and shared, while new security and …

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 …

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is
more intelligent, learning and adapting to new computer defenses on the fly. Using the same …

MapReduce enables parallel and distributed processing of vast amount of data on a cluster
of machines. However, such computing paradigm is subject to threats posed by malicious …

It can be difficult to fully understand the result of integrating information from diverse sources.
When all the information comes from a single organization, there is a collective knowledge …