Over the past few years, Internet applications have become more advanced and widely
used. This has increased the need for Internet networks to be secured. Intrusion detection …

Real‐time intrusion detection system based on the von Neumann architecture struggle to
balance low power consumption and high computing speed. In this work, a strategy for …

This study presents a comprehensive exploration of the hyperparameter optimization in one-
dimensional (1D) convolutional neural networks (CNNs) for network intrusion detection. The …

In recent years, deep learning (DL) has garnered significant attention for its successful
applications across various domains in solving complex problems. This interest has spurred …

Recurrent networks have been adopted as default architecture in approaches performing
sequence modelling of network intrusion detection problems. However, models based on …

In the past few years, numerous methods of attack against recommendation systems have
been developed. Cellphones, smart devices, and self-driving cars are instances of …

In the evolving landscape of Internet of Things (IoT) and Industrial IoT (IIoT) security, novel
and efficient intrusion detection systems (IDSs) are paramount. In this article, we present a …

The Internet offers humanity many distinctive and indispensable services, whether for
individuals or for institutions and companies. This great role has attracted the Internet …

In the current landscape where cybersecurity threats are escalating in complexity and
frequency, traditional defense mechanisms like rule-based firewalls and signature-based …

With the exponential increase in cyberattacks, the need for effective and scalable network
intrusion detection systems (IDS) is critical. This study evaluates the effectiveness of …