Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …

A large number of cloud services require users to share private data like electronic health
records for data analysis or mining, bringing privacy concerns. Anonymizing data sets via …

This paper presents MobiMix, a road network based mix-zone framework to protect location
privacy of mobile users traveling on road networks. In contrast to spatial cloaking based …

Cloud computing evolved from the concept of utility computing, which is defined as the
provision of computational and storage resources as a metered service. Another key …

The application of artificial intelligence (AI) across firms and industries warrants a line of
research focused on determining its overall effect on economic variables. As a general …

Cloud computing provides massive computation power and storage capacity which enable
users to deploy computation and data-intensive applications without infrastructure …

In big data applications, data privacy is one of the most concerned issues because
processing large-scale privacy-sensitive data sets often requires computation resources …

Cloud computing provides promising scalable IT infrastructure to support various processing
of a variety of big data applications in sectors such as healthcare and business. Data sets …

As the amount of data explodes rapidly, more and more corporations are using data centers
to make effective decisions and gain a competitive edge. Data analysis applications play a …

It is well known that processing big graph data can be costly on Cloud. Processing big graph
data introduces complex and multiple iterations that raise challenges such as parallel …