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DOI: 10.14569/IJACSA.2016.070262
PDF

Android Malware Detection & Protection: A Survey

Author 1: Saba Arshad
Author 2: Munam Ali Shah
Author 3: Abid Khan
Author 4: Mansoor Ahmed

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 2, 2016.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Android has become the most popular smartphone operating system. This rapidly increasing adoption of Android has resulted in significant increase in the number of malwares when compared with previous years. There exist lots of antimalware programs which are designed to effectively protect the users’ sensitive data in mobile systems from such attacks. In this paper, our contribution is twofold. Firstly, we have analyzed the Android malwares and their penetration techniques used for attacking the systems and antivirus programs that act against malwares to protect Android systems. We categorize many of the most recent antimalware techniques on the basis of their detection methods. We aim to provide an easy and concise view of the malware detection and protection mechanisms and deduce their benefits and limitations. Secondly, we have forecast Android market trends for the year up to 2018 and provide a unique hybrid security solution and take into account both the static and dynamic analysis an android application.

Keywords: Android; Permissions; Signature

Saba Arshad, Munam Ali Shah, Abid Khan and Mansoor Ahmed, “Android Malware Detection & Protection: A Survey” International Journal of Advanced Computer Science and Applications(IJACSA), 7(2), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070262

@article{Arshad2016,
title = {Android Malware Detection & Protection: A Survey},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070262},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070262},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {2},
author = {Saba Arshad and Munam Ali Shah and Abid Khan and Mansoor Ahmed}
}



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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