In social aware networks, the routing protocol possesses a considerable amount of sensitive
user information during node transmission. When selecting the next hop node for …

The remarkable increasing demands of mitigating losses from cyber incidents for financial
firms has been driving the rapid development of the Cybersecurity Insurance (CI). The …

With the rapid development of the Mobile Edge Computing (MEC) and the Internet of Things
(IoT), intelligent interconnectivity and data exchange between devices have become …

Principal component analysis (PCA) is a powerfultool in dimensional reduction for highly
correlated data. ClassicalPCA approaches cannot be applied to big data because ofmemory …

Nanoparticles (NPs) play increasingly important roles in nanotechnology and nanomedicine
in which nanoparticle surface chemistry allows for control over interactions with other …

Federated learning is a privacy preserving machine learning paradigm which trains model
on distributed datasets. Homomorphic encryption can be used to protect local model …

With the arrival of the era of big data, people's ability to collect and obtain data is becoming
more powerful. These data have shown the characteristics of high dimension, large scale …

Cloud computing is becoming the main computing model in the future due to its advantages
such as high resource utilization rate and save high cost of performance. The public …

Vehicle affect the safety of people's daily life, and it is difficult to detect and discriminate the
surrounding conditions of the vehicle because of a variety of object types and different sizes …

This paper aims at providing a methodological framework for investigating wood polymers
using atomistic modeling, namely, molecular dynamics (MD) and grand canonical Monte …