abstract The rising of information and communication technologies brought about new
challenges that need to be dealt with is the citizens' security is considered. Undoubtedly, the …

As cybersecurity is a growing field of science, there is not complete agreement across the
scope of cybersecurity research topics. This paper proposes a grouping and classifications …

The rapid growth in technology and several IoT devices make cyberspace unsecure and
eventually lead to Significant Cyber Incidents (SCI). Cyber Security is a technique that …

Cyber-security challenges are growing globally and are specifically targeting critical
infrastructure. Conventional countermeasure practices are insufficient to provide proactive …

Research on the application of machine learning to the field of intrusion detection is
attracting great interest. However, depending on the application, it is difficult to collect the …

Nowadays, with the occurrence of new attacks and raised challenges have been facing the
security of computer systems. Cyber security techniques have become essential for …

Some of the problems of extant cyberattack prediction approaches are low prediction
accuracy, high false positive rate, very long training time, and the choice of hyperparameters …

The number of studies on applying machine learning to cyber security has increased over
the past few years. These studies, however, are facing difficulties with making themselves …

Urban sensor networks often consist of a large number of low-cost sensor nodes. Due to the
constrained resource devices and hazardous deployment, urban sensing is vulnerable to …

This paper provides an overview of related prediction techniques used in the field of cyber
security, and discusses three main types of cyber security prediction tasks: projection and …