The rapid evolution of the Smart-everything movement and Artificial Intelligence (AI)
advancements have given rise to sophisticated cyber threats that traditional methods cannot …

Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …

Despite the fact that several technologies have been developed to assist healthcare workers
in reducing errors and improving accuracy in illness diagnosis, there is still substantial …

Botnets have emerged as a significant internet security threat, comprising networks of
compromised computers under the control of command and control (C&C) servers. These …

Critical information infrastructure (CII) is a critical component of national socioeconomic
systems and one of the primary targets of cyberattacks. Unfortunately, CII's security …

Abstract Software-Defined Network (SDN) is a perception of networking that separates the
network into different layers responsible for applications, control, and data, thus providing a …

This paper introduces a novel approach for medical image reclamation, specifically focusing
on enhancing chest image resolution. The proposed method introduces the Dual-Tree …

Due to the rapidly increasing number of Internet-connected objects, a huge amount of data
is created, stored, and shared. Depending on the use case, this data is visualized, cleaned …

Anomaly detection is of paramount importance in many real-world domains characterized by
evolving behavior, such as monitoring cyber-physical systems, human conditions and …

Abstract Artificial Intelligence (AI)-based IDS systems are susceptible to adversarial attacks
and face challenges such as complex evaluation methods, elevated false positive rates …