Resource constraint devices are now the first choice of cyber criminals for launching
cyberattacks. Network Intrusion Detection Systems (NIDS) play a critical role in the detection …

With the rapid increase of human activities in cyberspace, various network intrusions are
tended to be frequent and hidden. Network intrusion detection (NID) has attracted more and …

Cyberattacks represent an ever-growing threat that has become a real priority for most
organizations. Attackers use sophisticated attack scenarios to deceive defense systems in …

Intrusion detection systems (IDS) play a crucial role in maintaining network security. With the
increasing sophistication of cyber attack methods, traditional detection approaches are …

Abstract Network Intrusion Detection (NID) is an important defense strategy in modern
networks to detect malicious activities in large-scale cyberspace. The current NID methods …

The high volume of increasingly sophisticated cyber threats is drawing growing attention to
cybersecurity, where many challenges remain unresolved. Namely, for intrusion detection …

With the continuous occurrence of cybersecurity incidents, network intrusion detection has
become one of the most critical issues in cyber ecosystems. Although previous machine …

The last few years have seen a high volume of sophisticated cyber-attacks leading to
financial instability and privacy breaches. This reveals the need for a Network Intrusion …

This paper investigates graph neural networks (GNNs) applied for self-supervised intrusion
and anomaly detection in computer networks. GNNs are a deep learning approach for graph …

This paper presents a new Network Intrusion Detection System (NIDS) based on Graph
Neural Networks (GNNs). GNNs are a relatively new sub-field of deep neural networks …