Nowadays, the massive amount of are data produced in various sectors like health care,
insurance, banking stock market, etc. The dissemination of the data for mining and analysis …

While cloud computing has become an attractive platform for supporting data intensive
applications, a major obstacle to the adoption of cloud computing in sectors such as health …

Privacy becomes a more and more serious concern in applications involving microdata.
Recently, efficient anonymization has attracted much research work. Most of the previous …

Scalable data processing platforms built on cloud computing becomes increasingly
attractive as infrastructure for supporting big data applications. But privacy concerns are one …

Private data such as electronic health records and banking transactions must be shared
within the cloud environment to analysis or mine data for research purposes. In big data …

At present, the scale of data in many cloud applications increases tremendously in
accordance with the Big Data trend, thereby making it a challenge for commonly used …

-Anonymity and-diversity are two well-known privacy metrics that guarantee protection of the
respondents of a dataset by obfuscating information that can disclose their identities and …

Big data refers to a massive volume of data collected from heterogeneous data sources
including data collected from Internet of Things (IoT) devices. Big data analytics is playing a …

In recent years, data collection and data mining have emerged as fast-paced computational
processes as the amount of data from different sources has increased manifold. With the …

In the modern data-driven world, the actual advantage of big data can be realized if data is
efficiently processed and knowledge extracted from it can serve as an important component …