The rapid development of cloud computing promotes a wide deployment of data and
computation outsourcing to cloud service providers by resource-limited entities. Based on a …

Advances in cloud computing have greatly motivated data owners to outsource their huge
amount of personal multimedia data and/or computationally expensive tasks onto the cloud …

The smart campus can monitor students in real time by analyzing students' images, but a
large number of images bring an unbearable burden to the smart campus. The convenience …

With the development of smart devices, the Internet of Things (IoT) has found wide
applications and extended various services of Internet. On intermediate nodes and edge …

It is inevitable and evident that outsourcing complicated intensive tasks to public cloud
vendors would be the primary option for resource-constrained clients in order to save cost …

Today's society is collecting a massive and exponentially growing amount of data that can
potentially revolutionize scientific and engineering fields, and promote business innovations …

Biometric identification typically scans a large-scale database of biometric records for finding
a close enough match of an individual. This paper investigates how to outsource this …

With the prevalence of cloud computing, the resource constrained clients are trended to
outsource their computation-intensive tasks to the cloud server. Although outsourcing …

Solving large-scale sparse linear systems of equations (SLSEs) is one of the most common
and fundamental problems in big data, but it is very challenging for resource-limited users …

Matrix inverse computation is one of the most fundamental mathematical problems in large-
scale data analytics and computing. It is often too expensive to be solved in resource …