With the popular use of IoT devices, edge computing has been widely applied in the Internet
of things (IoT) and regarded as a promising solution for its wide distribution, decentralization …

Cloud-edge computing is a new paradigm for data sharing. Many computation tasks are
assigned to multiple edge nodes to mitigate the computing burden of the cloud and data is …

The explosive growth of the Internet of Things (IoT) data and its analytical applications can
bring convenience to better intelligent life, efficient work and other aspects. However, the …

Attribute-based encryption (ABE) is considered to be one of the most suitable schemes for
cryptographic access control in the big data environment. But it still faces many challenges …

Owing to the huge volume of big data, users generally use the cloud to store big data.
However, because the data are out of the control of users, sensitive data need to be …

Existing proxy re-encryption (PRE) schemes to secure cloud data sharing raise challenges
such as supporting the heterogeneous system efficiently and achieving the unbounded …

With the rapid growth of Internet of Things (IoT) applications, fog computing enables the IoT
to provide efficient services by extending the cloud computing paradigm to the edge of the …

Access and utilization of data are central to the cloud computing paradigm. With the advent
of the Internet of Things (IoT), the tendency of data sharing on the cloud has seen enormous …

With the massive deployment of the Internet of Things (IoT) devices, many data analysis
applications emerge for the large amount of data accumulated by IoT. Federated learning …

The increasing number of Internet of Things (IoT) devices motivate the data sharing that
improves the quality of IoT services. However, data providers usually suffer from the privacy …