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 …

Malware growth has accelerated due to the widespread use of Android applications.
Android smartphone attacks have increased due to the widespread use of these devices …

The Android operating system, which is popular on mobile devices, creates concerns for
users due to the malware it is exposed to. Android allows applications to be downloaded …

The increasing ubiquity of Android devices has precipitated a concomitant surge in
sophisticated malware attacks, posing critical challenges to cybersecurity infrastructures …

Background The Android operating system holds the vast majority of the market share in
smart device usage worldwide. The Android operating system, which is of interest to users …

To mitigate the rising threat of Android malware, researchers have been actively looking for
mechanisms that will enable rapid and accurate malware detection. Recently, attention has …

Malware is one of the leading causes of asset and data loss, posing significant risks to
individuals and organizations worldwide. Which has recently emerged as a major challenge …

Nowadays, Android malwares are increasingly significantly producing major security issues.
The complexity and increase of malware threats have made automated malware detection …

Department of Computer Science & Engineering, Poornima University, Jaipur, Rajasthan,
India. Email: adipesh. vaya88@ gmail. com, bsaxenark06@ gmail. com Given that the …

In the rapidly evolving landscape of cyber security, the incessant advancement of malicious
activities presents a formidable challenge, necessitating a paradigm shift in detection …