The growth of cloud computing is hindered by concerns about privacy and security. Despite
the widespread use of network intrusion detection systems (NIDS), the issue of false …

Cybersecurity attacks are becoming increasingly sophisticated and increasing with the
development of technology so that they present threats to both the private and public …

This paper investigates the application of ensemble learning techniques, specifically meta-
learning, in intrusion detection systems (IDS) for the Internet of Medical Things (IoMT). It …

With the widespread use of IoT applications, malware has become a difficult and
sophisticated threat. Without robust security measures, a massive volume of confidential and …

An intrusion detection system, often known as an IDS, is extremely important for preventing
attacks on a network, violating network policies, and gaining unauthorized access to a …

Botnets are a major security threat in the Internet of Things (IoT), posing significant risks to
user privacy, network availability, and the integrity of IoT devices. With the increasing …

This study focuses on dimensionality reduction by variable selection in business failure
prediction models. A new method of dimensionality reduction by variable selection using …

As 5G technology becomes more widespread, the significant improvement in network speed
and connection density has introduced more challenges to network security. In particular …

With the rapid growth of digital technology communications are overwhelmed by network
data traffic. The demand for the internet is growing every day in today's cyber world, raising …

Abstract Cyber‐Physical Systems (CPSs) provide critical infrastructure for the betterment of
human lives thereby integrating cyber and physical components but the fusion of physical …