Abstract-Nowadays, mobile handsets combine the functionality of mobile phones and PDAs. Unfortunately, mobile handsets development process has been driven by market demand, focusing on new features and neglecting security. So, it is imperative to study the existing challenges that facing the mobile handsets threat containment process, and the different techniques and methodologies that used to face those challenges and contain the mobile handsets malwares. This paper also presents a new approach to group the different malware containment systems according to their typologies.

The malware threat for mobile phones is expected to increase with the great functionality enhancement of mobile phones. Despite the nowadays malware high abilities, there are a lot of challenges that facing the mobile threat containment process.From this perspective, this work introduces a novel effective solution for discovering handset malwares threats. The work proposed a new behavior based technique for mobile application analysis, which is based on exploiting the application DLL usages, in order to extract values that can be used in a malware detection process. The technique is highly expected to be able to detect zero day viruses that have the similar functionalities as existing ones. Also, since these DLL functions are easy to be extracted from the executable files, the approach is computationally efficient.