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 …

With the ever-increasing requirement of storage and computation resources, it is unrealistic
for local devices (with limited sources) to implement large-scale data processing. Therefore …

Rivest-Shamir-Adleman (RSA) is one of the widely deployed public-key algorithms. Yet, its
decryption facet is very time consuming for resource-constrained Internet-of-Thing (IoT) …

A Privacy-preserving Verifiable (outsourced) Computation (PVC) protocol enables a
resource-constrained client to outsource expensive and sensitive workloads to …

Edge computing can help the resource-constrained Internet of Things (IoT) devices to
perform some complex tasks. Edge computing has many advantages, such as the …

Solving the system of linear algebraic equations (LAE) is the most well known and probably
the most important of all numerical computations involving real numbers. Researchers have …

Large-scale matrix computation requires a lot of computing resources, but the emergence of
cloud computing provides resource-limited users with an economical solution, namely …

Matrix multiplication computation (MMC) is a common scientific and engineering
computational task. But such computation involves enormous computing resources for large …

Modular exponentiation is an expensive discrete-logarithm operation, difficult for resource-
constrained users to perform locally. Fortunately, thanks to burgeoning cloud computing …

Cloud-assisted computation empowers resource-constrained clients to efficiently tackle
computationally intensive tasks by outsourcing them to resource-rich cloud servers. In the …