DocumentCode
2130601
Title
A Classifier of Malicious Android Applications
Author
Canfora, Gerardo ; Mercaldo, Francesco ; Visaggio, Corrado Aaron
Author_Institution
Dept. of Eng., Univ. of Sannio, Benevento, Italy
fYear
2013
fDate
2-6 Sept. 2013
Firstpage
607
Lastpage
614
Abstract
Malware for smart phones is rapidly spreading out. This paper proposes a method for detecting malware based on three metrics, which evaluate: the occurrences of a specific subset of system calls, a weighted sum of a subset of permissions that the application required, and a set of combinations of permissions. The experimentation carried out suggests that these metrics are promising in detecting malware, but further improvements are needed to increase the quality of detection.
Keywords
invasive software; mobile computing; pattern classification; smart phones; classifier; malicious Android applications; malware detection; smart phones; system calls; Classification algorithms; Internet; Malware; Measurement; Privacy; Smart phones; android; malware; security; smartphone; usability;
fLanguage
English
Publisher
ieee
Conference_Titel
Availability, Reliability and Security (ARES), 2013 Eighth International Conference on
Conference_Location
Regensburg
Type
conf
DOI
10.1109/ARES.2013.80
Filename
6657296
Link To Document