Abstract:
Today, mobile devices have become a widely
used for personal and business purposes. Because of
the popularity of mobile application, inexpensive
ways for people to communicate and share
information, they become the highest interesting
point of malicious attackers. Malicious software
which can destroy smart phones or steal sensitive
information are growing in every aspect of people’s
live. Relying on currently developed approaches is
not sufficient, given that intelligent malware keeps
modifying rapidly and as a result becomes more
difficult to detect. This paper focus on the extraction
of key features from Android apps using hybrid
analysis method to improve Machine Learning based
detection framework.
