HOOK MALWARE DETECTION IN APK USING ADVANCED MACHINE LEARNING ALGORITHM

HOOK MALWARE DETECTION IN APK USING ADVANCED MACHINE LEARNING ALGORITHM

Badanapally Praneeth1, Alla Naveen2, Aluri Siddartha Reddy3, Donthi Sainadh4, Dr.V.Ajitha5 1,2,3,4

B.Tech. Student, Department of Computer Science and Engineering,

Associate Professor, Department of Computer Science and Engineering,

Nalla Malla Reddy Engineering College, Hyderabad, India

Abstract—As the use of Android OS is open source which is developed by Google and it is highly available to every person around the world. In parallel, cyber attacks are also initially growing day by day.Nowadays detection of malware in APK has become difficult.To overcome this we proposed a system to detect malware in APK by using Advanced Machine Learning Algorithms. Here we will be performing static and dynamic analysis techniques using

Python.The primary objective of this project is to Detect Hook
Malware.This malware has recently been attacked on many android users.We will be using Genetic algorithm, Super Vector Machine (SVM) and Artificial Neural Network.In association we will be using technique of Reverse engineering technique to derive features of two APK sets where one APK is good ware and the other one is malware .By extracting those features of two APK sets we will be able to analyze the malware and helps to detect malware.

Keywords—Android,Operating System(OS),APK,Malware,Hook Malware,Genetic Algorithm, SVM Algorithm,Reverse Engineering,Features,Static Analysis,Dynamic Analysis.