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Power Consumption Based Android Malware Detection
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-06
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
In order to solve the problem that Android platform’s sand-box mechanism prevents security protection software from accessing effective information to detect malware, this paper proposes a malicious software detection method based on power consumption.
Firstly, the mobile battery consumption status information was obtained, and the Gaussian mixture model (GMM) was built by using Mel frequency cepstral coefficients (MFCC).
Then, the GMM was used to analyze power consumption; malicious software can be classified and detected through classification processing.
Experiment results demonstrate that the function of an application and its power consumption have a close relationship, and our method can detect some typical malicious application software accurately.
American Psychological Association (APA)
Yang, Hongyu& Tang, Ruiwen. 2016. Power Consumption Based Android Malware Detection. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1108468
Modern Language Association (MLA)
Yang, Hongyu& Tang, Ruiwen. Power Consumption Based Android Malware Detection. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1108468
American Medical Association (AMA)
Yang, Hongyu& Tang, Ruiwen. Power Consumption Based Android Malware Detection. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1108468
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108468