Trends In Android Malware Detection
<p class="Mdeck2authoraffiliation">This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds rangi...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Association of Digital Forensics, Security and Law
2013-09-01
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Series: | Journal of Digital Forensics, Security and Law |
Online Access: | http://ojs.jdfsl.org/index.php/jdfsl/article/view/113 |
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author | Kaveh Shaerpour Ali Dehghantanha Ramlan Mahmod |
author_facet | Kaveh Shaerpour Ali Dehghantanha Ramlan Mahmod |
author_sort | Kaveh Shaerpour |
collection | DOAJ |
description | <p class="Mdeck2authoraffiliation">This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and behavioral patterns. Each paper is reviewed extensively and the core features of each technique are highlighted and contrasted with the others. The challenges faced during the development of such techniques are also discussed along with the future prospects for Android malware detection. The findings of the review have been well documented in this paper to aid those making an effort to research in the area of Android malware detection by understanding the current scenario and developments that have happened in the field thus far.</p> |
first_indexed | 2024-12-12T03:37:40Z |
format | Article |
id | doaj.art-243960752075498fa17e125b629e3265 |
institution | Directory Open Access Journal |
issn | 1558-7215 1558-7223 |
language | English |
last_indexed | 2024-12-12T03:37:40Z |
publishDate | 2013-09-01 |
publisher | Association of Digital Forensics, Security and Law |
record_format | Article |
series | Journal of Digital Forensics, Security and Law |
spelling | doaj.art-243960752075498fa17e125b629e32652022-12-22T00:39:45ZengAssociation of Digital Forensics, Security and LawJournal of Digital Forensics, Security and Law1558-72151558-72232013-09-01832140145Trends In Android Malware DetectionKaveh Shaerpour0Ali Dehghantanha1Ramlan Mahmod2University Putra MalaysiaUniversity Putra MalaysiaUniversity Putra Malaysia<p class="Mdeck2authoraffiliation">This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and behavioral patterns. Each paper is reviewed extensively and the core features of each technique are highlighted and contrasted with the others. The challenges faced during the development of such techniques are also discussed along with the future prospects for Android malware detection. The findings of the review have been well documented in this paper to aid those making an effort to research in the area of Android malware detection by understanding the current scenario and developments that have happened in the field thus far.</p>http://ojs.jdfsl.org/index.php/jdfsl/article/view/113 |
spellingShingle | Kaveh Shaerpour Ali Dehghantanha Ramlan Mahmod Trends In Android Malware Detection Journal of Digital Forensics, Security and Law |
title | Trends In Android Malware Detection |
title_full | Trends In Android Malware Detection |
title_fullStr | Trends In Android Malware Detection |
title_full_unstemmed | Trends In Android Malware Detection |
title_short | Trends In Android Malware Detection |
title_sort | trends in android malware detection |
url | http://ojs.jdfsl.org/index.php/jdfsl/article/view/113 |
work_keys_str_mv | AT kavehshaerpour trendsinandroidmalwaredetection AT alidehghantanha trendsinandroidmalwaredetection AT ramlanmahmod trendsinandroidmalwaredetection |