In cybersecurity, personal data breaches have become one of the significant issues. This
fact indicates that data breaches require unique detection systems, techniques, and …

This article explores deep learning models in the field of malware detection in cyberspace,
aiming to provide insights into their relevance and contributions. The primary objective of the …

Insulators are vital protection and isolation barriers used in power transmission systems. To
prevent unexpected failures caused by severe weather conditions, it is important to develop …

Virtualization can be defined as the backbone of cloud computing services, which has
gathered significant attention from organizations and users. Due to the increasing number of …

The rise in mobile malware risks brought on by the explosion of Android smartphones
required more efficient detection techniques. Inspired by a cascade of Long Short-Term …

Advancements in microelectronics have increased the popularity of mobile devices like
cellphones, tablets, e-readers, and PDAs. Android, with its open-source platform, broad …

As the complexity of banking technology systems increases, the prevention of technological
risk becomes an endless battle. Currently, most banks rely on the experience and subjective …

In image dehazing, non-uniform haze leads to issues such as image blurring, distortion, low
contrast, and surface detail loss. Existing dehazing techniques struggle with the uneven …

Dynamic malware detection refers to detecting mal-ware by inferring the run-time trace of
malware, ie, a sequence of API calls. In this paper, we proposed HeteroNet, a novel dynamic …

Effective malware detection remains a critical challenge in cybersecurity. In this study, we
propose an innovative method that combines swarm intelligence through Particle Swarm …