The Internet of Things (IoT) is growing rapidly and so the need of ensuring protection against
cybersecurity attacks to IoT devices. In this scenario, Intrusion Detection Systems (IDSs) play …

Intrusion detection is a predominant task that monitors and protects the network
infrastructure. Therefore, many datasets have been published and investigated by …

A crucial role in the security of modern networks is played by Intrusion Detection Systems
(IDSs), security devices designed to identify and mitigate attacks to networks structure. Data …

The objective of this study was to assess the performance of various resampling strategies
aimed at mitigating the class imbalance problem in Network Intrusion Detection Systems …

The evolution of Internet and its related communication technologies have consistently
increased the risk of cyber-attacks. In this context, a crucial role is played by Intrusion …

One of the major problems in classifying network attack tactics is the imbalanced nature of
data. Typical network datasets have an extremely high percentage of normal or benign traffic …

Network flow classification allows to distinguish normal flows from deviant behaviors.
However, given the diversity of the approaches proposed for intrusion detection via IDS …

Network security is a growing concern as digital infrastructure expands, and traditional
measures struggle against modern cyber threats. With the increasing complexity of attacks …

NIDSs, known as network intrusion detection systems, are essential for protecting computer
networks. Nonetheless, there are concerns about the sustainability and viability of current …

Cloud security research has shown significant advances in terms of anomaly detection, with
attention on cloud security. For instance, autoencoders were used to improve anomaly …