Fast-growing smart city applications, such as smart delivery, smart community, and smart
health, are generating big data that are widely distributed on the internet. IoT (Internet of …

Fog computing is a promising approach to address the challenges faced by traditional
spatial data infrastructure when processing large-scale and real-time data. This chapter …

In recent years, more and more attention has been paid to the privacy issues associated with
storing user data in a centralized manner. In fact, strict laws have been introduced to …

In recent years, Fog and edge computing have gained enormous increases and usage of
Internet of Things (IoT) devices in research and development even though it provides …

We study differential privacy in the context of gathering real-time congestion of entire routes
in smart cities. Gathering this data is a distributed task that poses unique algorithmic and …

As organizations increasingly harness the power of big data analytics to derive insights and
drive decision-making, the paramount concerns of security and privacy have come to the …

The large amount of data produced in Internet of Things (IoT) environments has recently
caused a rapid development in fog and mobile edge computing. It suffers in the areas of …

We consider traffic monitoring via license plate recognition. Anonymizing license plates by
substituting randomized identifiers is a common privacy enhancing strategy in this situation …

Recently, the rapid growth of data in Internet of Things (IoT) environments has led to
significant advancements in fog and mobile edge computing. However, these technologies …

We study differential privacy in the context of gathering real-time congestion of entire routes
in smart cities. Gathering this data is a distributed task that poses unique algorithmic and …