Android malware detection method based on SimHash
A new similarity detection scheme based on hierarchical SimHash algorithm was proposed.The scheme extractd contents from different aspects to represent the APK file,then used the improved SimHash to respectively represent the file.The scheme analyzed the APK file by extracting the AndroidManifest.xm...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017271/ |
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| _version_ | 1841539425209679872 |
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| author | Bo CHEN Yong-tao PAN Tie-ming CHEN |
| author_facet | Bo CHEN Yong-tao PAN Tie-ming CHEN |
| author_sort | Bo CHEN |
| collection | DOAJ |
| description | A new similarity detection scheme based on hierarchical SimHash algorithm was proposed.The scheme extractd contents from different aspects to represent the APK file,then used the improved SimHash to respectively represent the file.The scheme analyzed the APK file by extracting the AndroidManifest.xml file in it,the sum of the Smali code from the decompilation of dex file,instructions extracted in Smali files,Java code set,and instructions extracted in Java code files.Through the study of Voted Perceptron voting algorithm,the scheme used trust weight method,by valuating a trust weight in every layer,then combined all the result with weight in every layer as a resule of scheme,the result can be more reasonable and more convincing. |
| format | Article |
| id | doaj-art-66b769e3076145ca934365095fa418bf |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-66b769e3076145ca934365095fa418bf2025-01-14T07:13:49ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-11-0138303659715092Android malware detection method based on SimHashBo CHENYong-tao PANTie-ming CHENA new similarity detection scheme based on hierarchical SimHash algorithm was proposed.The scheme extractd contents from different aspects to represent the APK file,then used the improved SimHash to respectively represent the file.The scheme analyzed the APK file by extracting the AndroidManifest.xml file in it,the sum of the Smali code from the decompilation of dex file,instructions extracted in Smali files,Java code set,and instructions extracted in Java code files.Through the study of Voted Perceptron voting algorithm,the scheme used trust weight method,by valuating a trust weight in every layer,then combined all the result with weight in every layer as a resule of scheme,the result can be more reasonable and more convincing.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017271/Androidmalware detectionSimHashVoted Perceptron |
| spellingShingle | Bo CHEN Yong-tao PAN Tie-ming CHEN Android malware detection method based on SimHash Tongxin xuebao Android malware detection SimHash Voted Perceptron |
| title | Android malware detection method based on SimHash |
| title_full | Android malware detection method based on SimHash |
| title_fullStr | Android malware detection method based on SimHash |
| title_full_unstemmed | Android malware detection method based on SimHash |
| title_short | Android malware detection method based on SimHash |
| title_sort | android malware detection method based on simhash |
| topic | Android malware detection SimHash Voted Perceptron |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017271/ |
| work_keys_str_mv | AT bochen androidmalwaredetectionmethodbasedonsimhash AT yongtaopan androidmalwaredetectionmethodbasedonsimhash AT tiemingchen androidmalwaredetectionmethodbasedonsimhash |