Internet of Things (IoT) technology is prospering and entering every part of our lives, be it
education, home, vehicles, or healthcare. With the increase in the number of connected …

Labeled data sets are necessary to train and evaluate anomaly-based network intrusion
detection systems. This work provides a focused literature survey of data sets for network …

Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …

As the world moves towards being increasingly dependent on computers and automation,
building secure applications, systems and networks are some of the main challenges faced …

The Internet of Things (IoT) is a new revolution defined by heterogeneous devices made up
of intelligent, omnipresent items that are all hooked up to The internet. These devices are …

There is a growing need to perform a diverse set of real-time analytics (batch and stream
analytics) on evolving graphs to deliver the values of big data to users. The key requirement …

This survey focuses on intrusion detection systems (IDS) that leverage host-based data
sources for detecting attacks on enterprise network. The host-based IDS (HIDS) literature is …

Ransomware is a self-propagating malware encrypting file systems of the compromised
computers to extort victims for financial gains. Hundreds of schools, hospitals, and local …

In recent years cybersecurity attacks have caused major disruption and information loss for
online organisations, with high profile incidents in the news. One of the key challenges in …

In this paper, the performance of a solution providing stream processing is evaluated, and its
accuracy in the classification of suspicious flows in simulated network traffic is investigated …