Power Consumption Based Android Malware Detection
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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/6860217 |
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| _version_ | 1832567790465187840 |
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| author | Hongyu Yang Ruiwen Tang |
| author_facet | Hongyu Yang Ruiwen Tang |
| author_sort | Hongyu Yang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-50204f79bf3c43d898d18e8acf1dcf8f |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-50204f79bf3c43d898d18e8acf1dcf8f2025-02-03T01:00:33ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/68602176860217Power Consumption Based Android Malware DetectionHongyu Yang0Ruiwen Tang1School of Computer Science and Technology, Civil Aviation University of China, No. 2898, Jinbei Road, Tianjin 300300, ChinaSchool of Computer Science and Technology, Civil Aviation University of China, No. 2898, Jinbei Road, Tianjin 300300, ChinaIn 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.http://dx.doi.org/10.1155/2016/6860217 |
| spellingShingle | Hongyu Yang Ruiwen Tang Power Consumption Based Android Malware Detection Journal of Electrical and Computer Engineering |
| title | Power Consumption Based Android Malware Detection |
| title_full | Power Consumption Based Android Malware Detection |
| title_fullStr | Power Consumption Based Android Malware Detection |
| title_full_unstemmed | Power Consumption Based Android Malware Detection |
| title_short | Power Consumption Based Android Malware Detection |
| title_sort | power consumption based android malware detection |
| url | http://dx.doi.org/10.1155/2016/6860217 |
| work_keys_str_mv | AT hongyuyang powerconsumptionbasedandroidmalwaredetection AT ruiwentang powerconsumptionbasedandroidmalwaredetection |