Deep Learning (DL) algorithms based on artificial neural networks have achieved
remarkable success and are being extensively applied in a variety of application domains …

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 …

Intelligent Transportation System (ITS) is critical to cope with traffic events, eg, traffic jams
and accidents, and provide services for personal traveling. However, existing researches …

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 …

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 …

Fully homomorphic encryption (FHE) is a powerful cryptographic primitive to secure
outsourced computations against an untrusted third-party provider. With the growing …

Ciphertext-policy attribute-based encryption (CP-ABE) is a promising approach to achieve
fine-grained access control over the outsourced data in Internet of Things (IoT). However, in …

Cloud computing facilitates the storage and management of huge volumes of data. It offers
flexibility for retrieving the data anytime and anywhere. In recent years, storing data onto the …

Secure outsourced computation is a key technique for protecting data security and privacy in
the cloud. Although fully homomorphic encryption (FHE) enables computations over …

With the growing number of heterogeneous resource-constrained devices connected to the
Internet, it becomes increasingly challenging to secure the privacy and protection of data …