In an era where cyberspace is both a battleground and a backbone of modern society, the
urgency of safeguarding digital assets against ever-evolving threats is paramount. This …

Abstract Network Intrusion Detection Systems (NIDS) are critical for protecting computer
networks from unauthorized activities. Traditional NIDS rely on rule-based signatures, which …

The rapid integration of Generative AI (GenAI) and Large Language Models (LLMs) in
sectors such as education and healthcare have marked a significant advancement in …

To prevent large-scale water inrush accidents during the excavation process of a water-rich
tunnel, a method, based on a random forest (RF) algorithm, for predicting the hazard level of …

The network security problem in today's world is becoming more and more prominent, and
intrusion detection as a branch in the field of network security has been developed …

The widespread use of the Internet and digital services has significantly increased data
collection and processing. Critical domains like healthcare rely on this data, but privacy and …

The rapid growth of communication networks, coupled with the increasing complexity of
cyber threats, necessitates the implementation of proactive measures to protect networks …

The rapid development of fifth-generation (5G) mobile communication technology poses
fresh challenges for cybersecurity defense systems. Current intrusion detection mechanisms …

Aiming at the problem of poor detection performance under the environment of imbalanced
type distribution, an intrusion detection model of genetic algorithm to optimize weighted …

With the continuous growth of network throughput, the field of network security is facing
increasingly severe challenges. To address this challenge, this paper proposes a network …