With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

Sensor applications have become ubiquitous in modern society as the digital age continues
to advance. AI-based techniques (eg, machine learning) are effective at extracting …

Recently, big data related to human movement, air quality, and meteorology have been
generated in urban computing through sensing technology and the computing infrastructure …

This paper presents a new framework for intrusion detection in the next-generation Internet
of Things. MinMax normalization strategy is used to collect and preprocess data. The Marine …

Ignoring the temporal relationship of position points in trajectory data or the change in the
number of position points in dummy trajectory generation can result in inadequate data …

Real-time analytics in Industrial Internet-of-Things (IIoT) has received remarkable attention
recently due to its capacity to prevent downtime and manage risks. However, the sensed …

With the rapid growth of the internet of things (IoT), huge amounts of multimedia data are
being generated from and/or exchanged through various IoT devices, systems and …

Robust machine learning (ML) models can be developed by leveraging large volumes of
data and distributing the computational tasks across numerous devices or servers …

Many services based on human activity recognition (HAR) have been developed; however,
user activity data include a large amount of private information. Although privacy protection …

Robust machine learning (ML) models can be developed by leveraging large volumes of
data and distributing the computational tasks across numerous devices or servers …