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DOI: 10.14569/IJACSA.2017.080636
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Mobile Malware Classification via System Calls and Permission for GPS Exploitation

Author 1: Madihah Mohd Saudi
Author 2: Muhammad ‘Afif b. Husainiamer

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 6, 2017.

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Abstract: Now-a-days smartphones have been used worldwide for an effective communication which makes our life easier. Unfortunately, currently most of the cyber threats such as identity theft and mobile malwares are targeting smartphone users and based on profit gain. They spread faster among the users especially via the Android smartphones. They exploit the smartphones through many ways such as through Global Positioning System (GPS), SMS, call log, audio or image. Therefore to detect the mobile malwares, this paper presents 32 patterns of permissions and system calls for GPS exploitation by using covering algorithm. The experiment was conducted in a controlled lab environment, by using static and dynamic analyses, with 5560 of Drebin malware datasets were used as the training dataset and 500 mobile apps from Google Play Store for testing. As a result, 21 out of 500 matched with these 32 patterns. These new patterns can be used as guidance for all researchers in the same field in identifying mobile malwares and can be used as the input for a formation of a new mobile malware detection model.

Keywords: Mobile malware; Global Positioning System (GPS) exploitation; system call; permission; covering algorithm; static and dynamic analyses

Madihah Mohd Saudi and Muhammad ‘Afif b. Husainiamer, “Mobile Malware Classification via System Calls and Permission for GPS Exploitation” International Journal of Advanced Computer Science and Applications(IJACSA), 8(6), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080636

@article{Saudi2017,
title = {Mobile Malware Classification via System Calls and Permission for GPS Exploitation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080636},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080636},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {6},
author = {Madihah Mohd Saudi and Muhammad ‘Afif b. Husainiamer}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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