The various application markets are facing an exponential growth of Android malware. Every
day, thousands of new Android malware applications emerge. Android malware hackers …

The main objective of this review is to present an in-depth study of Android malware
detection approaches. This article provides a comprehensive survey of 150 studies on …

Popularity and market share of Android operating system has given significant rise to
malicious apps targeting it. Traditional malware detection methods are obsolete as current …

This article aims to identify some of the most significant security risks an organization may
face if it does not consider the inherent risks associated with personal devices in the …

Android-based smart devices cater to services in almost every aspect of our lives like
personal, professional, social, banking, business, etc. However, people with increasingly …

Android OS popularity has given significant rise to malicious apps targeting it. Malware use
state of the art obfuscation methods to hide their functionality and evade anti-malware …

Malicious software is a pernicious global problem. A novel multi-task learning framework is
proposed in this paper for malware image classification for accurate and fast malware …

Steganography is a vital security approach that hides any secret content within ordinary
data, such as multimedia. This hiding aims to achieve the confidentiality of the IoT secret …

Although few performance evaluation instruments have been used conventionally in
different machine learning-based classification problem domains, there are numerous ones …

The competing landscape between malware authors and security analysts is an ever‐
changing battlefield over who can innovate over the other. While security analysts are …