Provided by: The Pennsylvania State University
Date Added: Dec 2011
In this paper, the authors show how an attacker can launch malware onto a large number of smartphone users by plagiarizing Android applications and by using elements of social engineering to increase infection rate. Their analysis of a dataset of 158,000 smartphone applications meta information indicates that 29.4% of the applications are more likely to be plagiarized. They propose three detection schemes that rely on syntactic fingerprinting to detect plagiarized applications under different levels of obfuscation used by the attacker.