Network anomaly detection is an important and dynamic research area. Many Network Intrusion Detection methods and Systems (NIDS) have been proposed in the literature. In this paper, the authors ...

Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...

Violations of security policies within a computer or network are symbolic of the need for robust intrusion detection. From attackers accessing systems from the internet or authorized users conducting ...

The US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement ...

Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...

This column is available in a weekly newsletter called IT Best Practices. Click here to subscribe. In August 2015, American Airlines mistakenly sold plane tickets at discounts of up to 90% due to a ...

AI has shifted from experimental trials to core network functions in enterprises, delivering rapid returns in tasks like monitoring, anomaly detection, and capacity planning. Yet most organizations ...

Predictive maintenance fails not from bad models, but broken handoffs. Here's the integration architecture that closed the ...