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DOI: 10.14569/IJACSA.2017.080822
PDF

InstDroid: A Light Weight Instant Malware Detector for Android Operating Systems

Author 1: Saba Arshad
Author 2: Rabia Chaudhary
Author 3: Munam Ali Shah
Author 4: Neshmia Hafeez
Author 5: Muhammad Kamran Abbasi

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

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: With the increasing popularity of Android operating system, its security concerns have also been raised to a new horizon in past few years. Different researchers have introduced different approaches in order to mitigate the malware attacks on Android devices and they succeed to provide security up to some extent but these antimalware techniques are still resource inefficient and takes longer time to detect the malicious behavior of applications. In this paper, basic security mechanisms, provided by Google Android, and their limitations are discussed. Also, the existing antimalware techniques which lie under the basic detection approaches are discussed and their limitations are also highlighted. This research proposes a light weight instant malware detector, named as InstDroid, for Android devices that can identify the malicious applications immediately. Through experiments, it is shown that InstDroid is an instant malware detector that provides instant security at low resource consumption, power and memory, in comparison to other well-known commercial antimalware applications.

Keywords: Android; static; resource efficient; power consumption; memory; detection rate; accuracy

Saba Arshad, Rabia Chaudhary, Munam Ali Shah, Neshmia Hafeez and Muhammad Kamran Abbasi, “InstDroid: A Light Weight Instant Malware Detector for Android Operating Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 8(8), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080822

@article{Arshad2017,
title = {InstDroid: A Light Weight Instant Malware Detector for Android Operating Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080822},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080822},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {8},
author = {Saba Arshad and Rabia Chaudhary and Munam Ali Shah and Neshmia Hafeez and Muhammad Kamran Abbasi}
}



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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