Internet of Things (IoT) allows billions of physical objects to be connected to collect and
exchange data for offering various applications, such as environmental monitoring …

In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects
can be empowered to create, receive, and exchange data in a seamless manner. Various …

Fog computing uses one or more collaborative end users or near-user edge devices to
perform storage, communication, control, configuration, measurement and management …

Attribute-based encryption (ABE) for cloud computing access control is reviewed in this
article. A taxonomy and comprehensive assessment criteria of ABE are first proposed. In the …

Internet of Things (IoT) is gaining increasing popularity. Overwhelming volumes of data are
generated by IoT devices. Those data after analytics provide significant information that …

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 …

Fog computing is a paradigm that extends cloud computing to the edge of the network. It can
provide computation and storage services to end devices in Internet of Things (IoT). Attribute …

Internet of Things (IoT) is the paramount virtual network that enables remote users to access
connected multimedia devices. It has dragged the attention of the community because it …

Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) are a class of Recurrent
Neural Networks (RNN) suitable for sequential data processing. Bidirectional LSTM …