Despite the rapid growth and advancement in the Internet of Things (IoT), there are critical
challenges that need to be addressed before the full adoption of the IoT. Data privacy is one …

In this paper, we present a survey of existing privacy-preserving schemes for fog-based
Internet of Things (IoT) applications. We start by describing fundamentals of fog computing …

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 …

Fog computing has been considered as a key enabler to reach the increasing demands on
local data analysis and numerous device connections for Internetof-Things (IoT), by …

Fog nodes are implemented near to end‐users Internet of Things (IoT) devices, which
mitigate the impact of low latency, location awareness, and geographic distribution …

Today, to realize the promises associated with the upcoming Internet of Things (IoT),
relevant data are usually sent to cloud‐based servers for storage and further processing to …

Today, relevant data are typically delivered to cloud-based servers for storing and analysis
in order to extract key features and enable enhanced applications beyond the basic …

With the advancement of different technologies such as 5G networks and IoT the use of
different cloud computing technologies became essential. Cloud computing allowed …

Internet of Things (IoT) aims to bring every object such as smart cameras, wearable devices,
environmental sensors, home appliances, and vehicles online. These “Things” generate an …

The advent of high performance fog and edge computing and high bandwidth connectivity
has brought about changes to Internet-of-Things (IoT) service architectures, allowing for …