The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …

The ability to process large amounts of data in real time using big data analytics tools brings
many advantages that can be used in intrusion detection systems. Deep learning …

The rapid advancements in technology have given rise to groundbreaking solutions and
practical applications in the field of the Industrial Internet of Things (IIoT). These …

Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …

Purpose This paper aims to propose a research model with eight constructs, ie BDA
leadership, BDA talent quality, BDA security quality, BDA privacy quality, innovation …

Abstract The Internet of Things (IoT) and its applications are becoming ubiquitous in our life.
However, the open deployment environment and the limited resources of IoT devices make …

Companies seek to promote a swift digitalization of their business processes and new
disruptive features to gain an advantage over their competitors. This often results in a wider …

Data-driven methods are implemented using particularly complex scenarios that reflect in-
depth perennial knowledge and research. Hence, the available intelligent algorithms are …

Driven by advances in information and communication technologies, an increasing number
of industries embrace unmanned and autonomous vehicles for services, such as public …

Network Intrusion Detection Systems (NIDS) represent a crucial component in the security of
a system, and their role is to continuously monitor the network and alert the user of any …