International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 98 - Number 14 |
Year of Publication: 2014 |
Authors: Sumit Sharma, Parmjit Kaur |
10.5120/17249-7588 |
Sumit Sharma, Parmjit Kaur . Spyware Detection based upon Hybrid Approach in Android Smartphones. International Journal of Computer Applications. 98, 14 ( July 2014), 6-9. DOI=10.5120/17249-7588
Smart phones, which were once a luxury product has now become a household product. This transformation has been due to the vast amount of functionalities which a smart phone provides in just a single device. Smartphone OS, such as Android, is an Open Source mobile platform that enables us to install third party applications. Due to large amount of applications that are available on the app store, it becomes very difficult for a user to distinguish between a malware free and malware containing application. In this paper, we are proposing a hybrid approach for detection of spyware genre applications out of all the installed applications.