In the burgeoning field of anomaly detection within attributed networks, traditional
methodologies often encounter the intricacies of network complexity, particularly in capturing …

A significant aspect of today's digital information is attributed networks, which combine
multiple node attributes with the basic network topology to extract knowledge. Anomaly …

Many types of real-world information systems, including social media and e-commerce
platforms, can be modelled by means of attribute-rich, connected networks. The goal of …

Abstract The Dark Web is a difficult and anonymous network used by cybercriminals,
terrorists, and state-sponsored agents to carry out their illicit goals. Dark web cybercrime is …

Security is a primary concern in wireless networks, such as mobile ad-hoc network,
vehicular ad-hoc network. Attacks are regarded as serious security issues in a vehicular ad …

Medical care can be improved by efficient analysis of the large amounts of data involved in
patient care. Two important challenges for patient care big-data analysis are the need to …

Explainable AI (XAI) has become increasingly important in the fast-evolving field of AI and
ML. The complexity and obscurity of AI, especially in the context of deep learning, provide …

Big Data is a term that describes the large volume of data both structured and unstructured
that is difficult to process using traditional database and software techniques. Cloud …

A new, fault-tolerant, scalable, and modular virtual topology for lightwave networks
employing wavelength division multiplexing is proposed. The proposed architecture is …

This study provides a systematic overview of the literature in gray market business using a
data-driven approach and points out several future research directions. The emergence of …