Analysis of classification algorithms for android malware behaviour detection

Muhammad Saufi, Siron (2014) Analysis of classification algorithms for android malware behaviour detection. Project Report. UTeM. (Submitted)

Text ANALYSIS OF CLASSIFICATION ALGORITHMS FOR ANDROID MALWARE BEHAVIOUR DETECTION.pdf Download (183kB)

Abstract

Today more malware has been created for new target which is smart phone with android platform. So with this project it will help to other researcher to detect behavior of malware using classifier technique. There are several problems to be solved through this project which is, there is no formal procedure to perform data collection using android platform that cause a problem to other researcher to collect data for analysis in future, and there are no comparative study on malware behavior through android platform. Then, the objective of this project to answer the problem which is to propose procedure to perform data collection on android platform, to determine the malicious behavior of malware in android and last to find the best classification technique for android malware detection. This project contribution to for those want to know about the malware process on android application based on syscall process, beside that this research also help other researcher to guide them how to implement data collection on android platform and to choose the best classification to used for android malware data. Then from the result and finding shows the best technique and algorithm used to get high accuracy this android data

Actions (login required)

View Item