Automated Detection and Analysis for Android Ransomware

• DOI: 10.1109/hpcc-css-icess.2015.39
• Publication Date: 2015-11-30T21:52:33Z
• Authors: Tianda Yang; Yu Yang; Kai Qian; Dan Chia-Tien Lo; Ying Qian; Lixin Tao
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Along with the rapid growth of new science andtechnology, the functions of smartphones become more and morepowerful. Nevertheless, everything has two aspects. Smartphonesbring so much convenience for people and also bring the securityrisks at the same time. Malicious application has become a bigthreat to the mobile security. Thus, an efficiency security analysisand detection method is important and necessary. Due toattacking of malicious application, user could not use smartphonenormally and personal information could be stolen. What isworse, attacking proliferation will impact the healthy growth ofthe mobile Internet industry. To limit the growing speed ofmalicious application, the first thing we need to know whatmalicious application is and how to deal with. Detecting andanalyzing their behaviors helps us deeply understand theattacking principle such that we can take effectivecountermeasures against malicious application. This articledescribes the basic Android component and manifest, the reasonthat Android is prevalent and why attacking came in. This paperanalyzed and penetrated malicious ransomware which threatsmobile security now with our developed automated analysisapproach for such mobile malware detection.