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RoughDroid: Operative Scheme for Functional Android Malware Detection
Joint Authors
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
There are thousands of malicious applications that invade Google Play Store every day and seem to be legal applications.
These malicious applications have the ability to link the malware referred to as Dresscode created for network hacking as well as scrolling information.
Since Android smartphones are indispensable, there should be an efficient and also unusual protection.
Therefore, Android smartphones usually continue to be safeguarded from novel malware.
In this paper, we propose RoughDroid, a floppy analysis technique that can discover Android malware applications directly on the smartphone.
RoughDroid is based on seven feature sets (FS1,FS2,…,FS7) from the XML manifest file of an Android application, plus three feature sets (FS8,FS9, and FS10) from the Dex file.
Those feature sets pass through the Rough Set algorithm to elastically classify the Android application as either benign or malicious.
The experimental results mainly consider 20 most common malware families, plus three new malware families (Grabos, TrojanDropper.Agent.BKY, and AsiaHitGroup) that invade Google Play Store at 2017.
According to the experimental results, RoughDroid has 95.6% detection performance for the malware families at 1% false-positive rate.
Finally, RoughDroid is a lightweight approach for straightly examining downloaded applications on the smartphone.
American Psychological Association (APA)
Riad, Khaled& Ke, Lishan. 2018. RoughDroid: Operative Scheme for Functional Android Malware Detection. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1214410
Modern Language Association (MLA)
Riad, Khaled& Ke, Lishan. RoughDroid: Operative Scheme for Functional Android Malware Detection. Security and Communication Networks No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1214410
American Medical Association (AMA)
Riad, Khaled& Ke, Lishan. RoughDroid: Operative Scheme for Functional Android Malware Detection. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1214410
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214410