Given that Internet traffic speed and volume are growing at a rapid pace, monitoring the
network in a real-time manner has introduced several issues in terms of computing and …

In today's digital landscape, cybercriminals are constantly evolving their tactics, making it
challenging for traditional cybersecurity methods to keep up. To address this issue, this …

Due to the rapid growth of technology, the urgency for effective cybersecurity systems has
become increasingly critical, notably within the paradigm of the Internet of Things (IoT) and …

The constantly changing nature of cyber threats presents unprecedented difficulties for
people, institutions, and governments across the globe. Cyber threats are a major concern in …

Intrusion detection systems built on artificial intelligence (AI) are presented as latent
mechanisms for actively detecting fresh attacks over a complex network. The authors used a …

In today's digital landscape, the increasing frequency and sophistication of cyberattacks
have highlighted the necessity for robust intrusion detection systems (IDS) to safe-guard …

In the digital world, malicious activities that violate the confidentiality, integrity, or availability
of data and devices are known as intrusions. An intrusion detection system (IDS) analyses …

The swift explosion of Internet of Things (IoT) devices has brought about a new era of
interconnectivity and ease of use while simultaneously presenting significant security …

Data mining and machine learning require feature selection because features can
dramatically improve model performance. In contrast, there are no polynomial solutions for …

The aviation industry is one of the most competitive markets. The most common approach for
airline service providers is to improve passenger satisfaction. Passenger satisfaction in the …