To create a completely immersive, highly spatiotemporal, and self-sustaining virtual shared
place for humans to play, work, and interact, the Metaverse is an emerging paradigm of the …

Many intrusion detection algorithms that use optimization have been developed and are
commonly used to detect intrusions. The process of selecting features and the parameters of …

Heart disease is a rapidly increasing disease that causes death worldwide. Therefore,
scientists around the globe start studying this issue from a different perspective to assure …

Network traffic anomaly detection is a key step in identifying and preventing network security
threats. This study aims to construct a new deep-learning-based traffic anomaly detection …

Driver fatigue and lethargy are widely acknowledged as significant contributors to the
occurrence of vehicular accidents. During the preceding decade, there were a total of …

Statistical modeling plays a critical role in various scientific fields as it offers an
understanding of how the response variable of interest is linked to a range of explanatory …

The intrusion detection system (IDS) plays an imperative role in defending the network from
attacks. But, the IDS data is imbalanced, making the process complex for detecting the …

Data poisoning attacks, where adversaries manipulate training data to degrade model
performance, are an emerging threat as machine learning becomes widely deployed in …