Malware is one of the most frequent cyberattacks, with its prevalence growing daily across
the network. Malware traffic is always asymmetrical compared to benign traffic, which is …

Current technological advancement in computer systems has transformed the lives of
humans from real to virtual environments. Malware is unnecessary software that is often …

Digital networks and systems are susceptible to malicious software (malware) attacks. Deep
learning (DL) models have recently emerged as effective methods to classify and detect …

Android malware security tools that can swiftly identify and categorize various malware
classes to create rapid response strategies have been trendy in recent years. Although …

In recent years, detecting malicious PDF has become increasingly challenging. It is crucial to
continuously improve mitigation and identification measures against malicious scripts …

Smartphones are prevalent in the modern digital era and typically work on open-source
software, which makes it easier for malicious code to enter the system. Android malware …

Malware is one of the most frequent cyberattacks, with its prevalence growing daily across
the network. Malware traffic is always asymmetrical compared to benign traffic, which is …

Android malware security tools that can swiftly identify and categorize various malware
classes to create rapid response strategies have been trendy in recent years. Although …

The study addresses the pressing need for improved malware detection in cybersecurity,
leveraging a novel approach that combines deep learning with feature selection techniques …