Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …

Due to the distributed collaboration and privacy protection features, federated learning is a
promising technology to perform the model training in virtual twins of Digital Twin for Mobile …

Autonomous vehicles (AVs) are increasingly common, although there remain a number of
limitations that need to be addressed in order for their deployment to be more widespread …

Mobile edge computing (MEC) has emerged as a promising paradigm to realize user
requirements with low-latency applications. The deep integration of multi-access …

The ever-growing demand for electrical energy of sensing devices in the Internet of Things
(IoT) has led to generating large amounts of electricity consumption data. Electricity service …

Ciphertext-Policy Attribute-Based Keyword Search (CP-ABKS) facilitates search queries and
supports fine-grained access control over encrypted data in the cloud. However, prior CP …

Fog computing, as an extension of cloud computing, outsources the encrypted sensitive data
to multiple fog nodes on the edge of Internet of Things (IoT) to decrease latency and network …

This paper proposes an efficient image encryption method based on a hybrid of
watermarking and cryptographic techniques. It is based on two-level security for the secure …

Vehicular networks have become a visible reality enabling information sharing between
vehicles to enhance driving safety and provide value-added services to drivers and …