DocumentCode
3697157
Title
Automated Detection and Analysis for Android Ransomware
Author
Tianda Yang;Yu Yang;Kai Qian;Dan Chia-Tien Lo;Ying Qian;Lixin Tao
Author_Institution
Dept. of Comput. Sci., Kennesaw State Univ., Marietta, GA, USA
fYear
2015
Firstpage
1338
Lastpage
1343
Abstract
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.
Keywords
"Androids","Humanoid robots","Malware","Smart phones","Mobile communication","Computer crime"
Publisher
ieee
Conference_Titel
High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on
Type
conf
DOI
10.1109/HPCC-CSS-ICESS.2015.39
Filename
7336353
Link To Document