In this survey, we review the existing game-theoretic approaches for cyber security and
privacy issues, categorizing their application into two classes, security and privacy. To show …

Wireless sensor networks (WSNs) use small nodes with constrained capabilities to sense,
collect, and disseminate information in many types of applications. As sensor networks …

The drastically increasing volume and the growing trend on the types of data have brought
in the possibility of realizing advanced applications such as enhanced driving safety, and …

Deep learning can achieve higher accuracy than traditional machine learning algorithms in
a variety of machine learning tasks. Recently, privacy-preserving deep learning has drawn …

With the emergence of ever-growing advanced vehicular applications, the challenges to
meet the demands from both communication and computation are increasingly prominent …

Crowdsensing applications utilize the pervasive smartphone users to collect large-scale
sensing data efficiently. The quality of sensing data depends on the participation of highly …

Important decisions about people are increasingly made by algorithms: Votes are counted;
voter rolls are purged; financial aid decisions are made; taxpayers are chosen for audits; air …

As the infrastructure of the intelligent transportation system, vehicular ad hoc networks
(VANETs) have greatly improved traffic efficiency. However, due to the openness …

This work proposes a new trust management system (TMS) for the Internet of Things (IoT).
The wide majority of these systems are today bound to the assessment of trustworthiness …

Vehicular edge computing (VEC) is introduced to extend computing capacity to vehicular
network edge recently. With the advent of VEC, service providers directly host services in …