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 …

Due to the complexity and volume, outsourcing ciphertexts to a cloud is deemed to be one of
the most effective approaches for big data storage and access. Nevertheless, verifying the …

With the vast increase in data transmission due to a large number of information collected by
devices, data management, and security has been a challenge for organizations. Many data …

Private set intersection cardinality (PSI-CA) is a useful cryptographic primitive for many data
analysis techniques, eg in genomic computations and data mining. In the last few years …

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 …

With the recent growth and commercialization of cloud computing, outsourcing computation
has become one of the most important cloud services, which allows the resource …

The issue of high system stability is one of the major obstacles for real-time computing over
fluctuating big data streams. A stable scheduling is more important than an efficient …

Because of technology, a large number of portable devices, and the great use of networks
and the need for them in education, industry, and politics. This widespread has led to the …

Due to an exponential rise in the incidence of cyberattacks, there is a greater than ever need
for enhanced Intrusion Detection Systems (IDS). In this aspect, the early classification of the …