Abstract Information systems need to process a large amount of event monitoring data. The
process of finding the relationships between events is called correlation, which creates a …

This survey paper provides a comprehensive overview of recent research and development
in network security that uses graphs and graph-based data representation and analytics …

In recent years, detecting anomalies in real-world computer networks has become a more
and more challenging task due to the steady increase of high-volume, high-speed and high …

Most attacks on the Internet are progressive attacks and exploit multiple multiple nodes.
Traditional Intrusion Detection Systems (IDS) cannot detect the original attack node, making …

The cybersecurity threats in the smart grid network are prominent with conventional
approaches providing integrated security control and communication protection for smart …

With an increase in the complexity and scale of networks, cybersecurity faces increasingly
severe challenges. For instance, an attacker can combine individual attacks into complex …

Intrusion Detection Systems (IDS) generate a high volume of alerts that security analysts do
not have the resources to explore fully. Modelling attacks, especially the coordinated …

An intrusion detection system (IDS) perform postcompromise detection of security breaches
whenever preventive measures such as firewalls do not avert an attack. However, these …

Future-oriented networking infrastructures are characterized by highly dynamic Streaming
Data (SD) whose volume, speed and number of dimensions increased significantly over the …

In recent times, the proliferation of Internet of Things (IoT) technology has brought a
significant shift in the digital transformation of various industries. The enabling technologies …