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 :
بازگشت