The Internet of Things (IoT) includes many devices generating vast amounts of data that need extensive computation. IoT has several definitions, but the most popular refers to multiple devices, ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The hybrid approach reportedly improves detection of complex and novel cyber ...

In intrusion detection, imbalanced datasets often degrade the accuracy of certain detections, potentially allowing malicious traffic to remain undetected and leading to significant losses. The ...

A robust intrusion prevention system (IPS) is crucial for enhancing cybersecurity. Built to detect and block potential threats actively, an IPS responds before harm can be caused to a system or the ...

An artificial immune system (AIS) for intrusion detection is a software system that loosely models some parts of the behavior of the human immune system to protect computer networks from viruses and ...

Intrusion detection technology presents a confusing array of acronyms, abstract concepts, and hazy deliverables. This exacerbates the difficult situation for executives who are asked to pay for these ...