Effective Malware Detection Technologies for Android-based Smartphone App

• Main Authors: Yi-Hsuan Chen, 陳儀烜
• Other Authors: Woei-Jiunn Tsaur
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/08548063608989791568

碩士 === 大葉大學 === 資訊管理學系碩士班 === 102 === With the popularity and universal of smart phones such as iPhone, Android and other system devices, advances in telecommunication technology have promoted more and more people to use mobile Internet. Concerning Android software development of free software and Google Play open platform, it is no rigorous approval system and anyone can publish applications on Google Play, so the malware of Android platform has been gradually increasing. Although the Android market has a new security mechanism “Bouncer” protection, hackers still have ways to escape detection to steal users’ data. Therefore, the information security issues of smart mobile devices has been becoming more important. Existing information security issues in smart mobile devices, is to use the traditional file detection, encryption, and authentication, to prevent the virus, which is not enough to prevent new types of virus. In current viral infection, it can be found that the network transmission is a major key, so this research explores the transmission network to detect a variety of mobile malware. The research is to use dynamic and static mixed detection method to detect unknown malware, in order to effectively prevent the leaks of users’ confidential information.