The metaverse is a nascent concept that envisions a virtual universe, a collaborative space
where individuals can interact, create, and participate in a wide range of activities. Privacy in …

Machine Learning's widespread application owes to its ability to develop accurate and
scalable models. In cyber-security, where labeled data is scarce, Semi-Supervised Learning …

Several works have used machine learning techniques for network-based intrusion
detection over the past few years. While proposed schemes have been able to provide high …

Resource allocation overbooking is an approach used by cloud providers that allocates
more virtual resources than available on physical hardware, which may imply service quality …

As an industrial infrastructure, the safety and reliability of the Cyber-Physical System
requires the effective anomaly detection. However, the existing detection methods have …

This study aimed at improving the performance of classifiers when trained to identify
signatures of unknown attacks. Furthermore, this paper addresses the following …

Supervisory Control and Data Acquisition (SCADA) systems have been a frequent target of
cyberattacks in Industrial Control Systems (ICS). As such systems are a frequent target of …

Real-time system status detection must be accurate and reliable due to the close coupling of
Cyber–Physical Systems (CPS) components. In order to improve the effectiveness of the …

Supervised learning has been widely used for attack categorization, requiring high-quality
data and labels. However, the data is often imbalanced and it is difficult to obtain sufficient …

Network attacks of the distributed denial of service (DDoS) form are used to disrupt server
replies and services. It is popular because it is easy to set up and challenging to detect. We …