Static Analysis of Android Permissions and SMS using Machine Learning Algorithms

Abstract

Everyday user receive number of SMS messages and installs number of applications on their device. A study says that every 10 seconds Android device is facing a new attack. As user is using smartphone nowadays to store personal and professional, confidential and sensitive information on smartphone, it needs to be secured. In this paper, a static analysis model is provided for network service providers. This will allow network service providers to mark SMS as spam before sending it to user. Analyzing permissions of Android application will allow app provider to identify malicious applications. This will help in reducing attacks on smartphones using applications. KeywordsSMS, spam, ham, Android permission, ANN a) Hybrid botnet: Architecture Hybrid is similar to P2P where Supervisor-Bot maintain a P2P communication between supervisors behaving like server community. But a Supervisor-Bot breed, keep information, and prevent a robust