Asepta, Rio and Mashudi, Mulya R. and Lim, Charles (2016) A Measurement of Risk Severity Level of Android Malware Based on Dangerous Permissions (Probability) and Data Theft (Impact). Masters thesis, Swiss German University.

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Abstract

The usage of smartphone has grown rapidly, exceeded the computer market share. Undeniable, this phenomenon has attracted the malware developers. More than 2.5 million of new malware found in Q4 of 2015 and most of them were designed to infect Android smartphone. By design, Android smartphone is secured by using permission scenario. When a malware tries to steal and modify the data in the smartphone but there is no granted permission accepted by the Android user at the first-time of APK installation, the activity will be denied. Unfortunately, based on a survey of 308 Android users, only 3% were aware of installing an APK with dangerous Android permission could lead to the data theft. This research defines the risk severity level of a malware based on the dangerous permission (probability) and the data theft (impact). As the result, in 300 of 10 malware families from DREBIN malware collection, 34 malware were defined as High risk, 114 as Medium risk and 152 as Low risk severity level.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Smartphone; Android Permission; Malware; Data Theft; Risk Severity
Subjects:	T Technology > T Technology (General) > T58.5 Information technology
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Atroridho Rizky
Date Deposited:	13 Jul 2020 15:21
Last Modified:	13 Jul 2020 15:21
URI:	http://repository.sgu.ac.id/id/eprint/1148

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