The problem of malicious software (malware) detection and classification is a complex task,
and there is no perfect approach. There is still a lot of work to be done. Unlike most other …

Ransomware attacks are becoming increasingly sophisticated, thereby rendering
conventional detection methods less effective. Recognizing this challenge, this study …

Reports produced by popular malware analysis services showed a disparity in samples
available for different malware families. The unequal distribution between such classes can …

Due to the rapid emergence of malware and its greater harm, the successful execution of
malware often brings incalculable losses. Consequently, the detection of malware has …

The rapid expansion of Internet of Things (IoT) devices has significantly increased the
potential for cyber-attacks, making effective detection methods crucial for securing IoT …

Malicious file attacks seriously affect network and data security, and recognizing malicious
files and variants is crucial for preventing network attacks. Faced with the challenge of …

Salience theory has been proposed as a new stock trading strategy. To assess the validity of
this proposal, a complex decision trading system was constructed based on salience theory …

In response to the increasing ransomware threat, this study presents a novel detection
system that integrates Convolutional Neural Networks (CNNs) and Long Short-Term …

Violence detection has garnered significant attention as there'sa growing demand for
automated methods to identify violent actions. This surge in interest stems from the utilization …

Malwares is designed to infiltrate devices and in most cases the underlying operating
system and are packaged in multiple file formats. Considering that Windows operating …