Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

This research introduces a theoretical framework for network anomaly detection in
cybersecurity, emphasizing the integration of adaptive machine learning models, ensemble …

Numerous resource-constrained Internet of Things (IoT) devices make the edge IoT
consisting of unmanned aerial vehicles (UAVs) vulnerable to network intrusion. Therefore, it …

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 evolution of the internet of things as a promising and modern technology has facilitated
daily life. Its emergence was accompanied by challenges represented by its frequent …

With the continuous development of network technology, the diversity of network traffic
constantly increased (intra-class diversity). Nevertheless, the boundary between malicious …

Border Gateway Protocol (BGP) enables Internet data routing. Hence, its anomalies affect
Internet connectivity and cause routing discon-nections, route flaps, and oscillations …

Abstract Network Intrusion Detection Systems (NIDSs) are crucial for resisting cyber threats.
However, NIDSs equipped with supervised learning models do not generalize well to …

Virtualized network slicing allows a multitude of logical networks to be created on a common
substrate infrastructure to support diverse services. A virtualized network slice is a logical …

While the network brings great social and economic benefits to mankind, the security
situation of the network is becoming increasingly severe, and various forms of network …