The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …

Network intrusion detection systems are useful tools that support system administrators in
detecting various types of intrusions and play an important role in monitoring and analyzing …

From 'connecting the dots' and finding 'the needle in the haystack'to predictive policing and
data mining for counterinsurgency, security professionals have increasingly adopted the …

As digital technologies and algorithmic rationalities have increasingly reconfigured security
practices, critical scholars have drawn attention to their performative effects on the …

Cyber-attack is one of the most challenging aspects of information technology. After the
emergence of the Internet of Things, which is a vast network of sensors, technology started …

Communication has long been accepted as integral to the conduct of international affairs.
The role that discourses, ideas, norms, and narratives play at the systemic level of world …

The use of predictive AI tools to improve decision-making in relation to crime prevention and
investigation is a reality. They are being implemented almost before we fully understand …

The ever-increasing number of Internet of Things (IoT) devices has created a new computing
paradigm, called edge computing, where most of the computations are performed at the …

The using machine learning methods is one of the most important methods for creating and
designing intrusion detection systems. Learning models can be taught according to the type …

The widespread integration of Internet of Things (IoT) devices across all facets of life has
ushered in an era of interconnectedness, creating new avenues for cybersecurity challenges …