In the recent past, the level of cyber threats has changed drastically, leading to the current
transformation of the cybersecurity landscape. For example, emerging threats like Zero-day …

As malware samples grow in complexity and employ advanced evasion techniques,
traditional detection methods are insufficient for accurately classifying large volumes of …

The malicious infestations of Android malware caused huge economic losses to users over
the past few years. Machine learning-based malware detection enhances the accuracy and …

Android's open-source nature, combined with its large market share, has made it a primary
target for malware developers. Consequently, there is a dramatic need for effective Android …

Mobile cloud computing (MCC) is a technological paradigm for providing services to mobile
device (MD) users. A compromised MD may cause harm to both its user and to other MCC …

The increasing popularity of Android devices has raised concerns about the growing risk of
malware. Malicious apps can compromise data security, disrupt device functionality, and …

The detection of malware attacks remains a significant challenge due rapid increase in
variety of malicious files. An efficient system is crucial to ensure robust malware protection …

This study delves into the domain of Android malware analysis, focusing on the
development of a sophisticated application capable of classifying APK files as benign or …

One of the most widely used mobile operating systems is Android. Consequently, it attracts
the attention of hackers and is increasingly subjected to intensive attacks. To address this …