Android malware detection method based on byte-code image and deep learning
A new Android malware detection method based on byte-code image and deep learning was proposed. Firstly, Android malware byte-code files were mapped to RGB colorful images which had three channels. Also, the Shannon entropy as Alpha channel of images were calculated, and then merged with RGB images...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2019-01-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2019022/ |
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| _version_ | 1841530490968866816 |
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| author | Tieming CHEN Binbin XIANG Mingqi LV Bo CHEN Xie JIANG |
| author_facet | Tieming CHEN Binbin XIANG Mingqi LV Bo CHEN Xie JIANG |
| author_sort | Tieming CHEN |
| collection | DOAJ |
| description | A new Android malware detection method based on byte-code image and deep learning was proposed. Firstly, Android malware byte-code files were mapped to RGB colorful images which had three channels. Also, the Shannon entropy as Alpha channel of images were calculated, and then merged with RGB images into RGBA images. Finally, the convolutional neural network as classifier was employed to classify aforementioned images. According to the experiment on malware of eight malicious families and compared this method with the method which mapping the byte-code to gray image, the result shows that the method using RGBA images has good performance not only in speed, but also in accuracy. |
| format | Article |
| id | doaj-art-f9e66153b62d4735970e74a83e3c2be0 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2019-01-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-f9e66153b62d4735970e74a83e3c2be02025-01-15T03:03:25ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-01-013591759591398Android malware detection method based on byte-code image and deep learningTieming CHENBinbin XIANGMingqi LVBo CHENXie JIANGA new Android malware detection method based on byte-code image and deep learning was proposed. Firstly, Android malware byte-code files were mapped to RGB colorful images which had three channels. Also, the Shannon entropy as Alpha channel of images were calculated, and then merged with RGB images into RGBA images. Finally, the convolutional neural network as classifier was employed to classify aforementioned images. According to the experiment on malware of eight malicious families and compared this method with the method which mapping the byte-code to gray image, the result shows that the method using RGBA images has good performance not only in speed, but also in accuracy.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2019022/malware detectionbyte-code imageShannon entropydeep learningclassification |
| spellingShingle | Tieming CHEN Binbin XIANG Mingqi LV Bo CHEN Xie JIANG Android malware detection method based on byte-code image and deep learning Dianxin kexue malware detection byte-code image Shannon entropy deep learning classification |
| title | Android malware detection method based on byte-code image and deep learning |
| title_full | Android malware detection method based on byte-code image and deep learning |
| title_fullStr | Android malware detection method based on byte-code image and deep learning |
| title_full_unstemmed | Android malware detection method based on byte-code image and deep learning |
| title_short | Android malware detection method based on byte-code image and deep learning |
| title_sort | android malware detection method based on byte code image and deep learning |
| topic | malware detection byte-code image Shannon entropy deep learning classification |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2019022/ |
| work_keys_str_mv | AT tiemingchen androidmalwaredetectionmethodbasedonbytecodeimageanddeeplearning AT binbinxiang androidmalwaredetectionmethodbasedonbytecodeimageanddeeplearning AT mingqilv androidmalwaredetectionmethodbasedonbytecodeimageanddeeplearning AT bochen androidmalwaredetectionmethodbasedonbytecodeimageanddeeplearning AT xiejiang androidmalwaredetectionmethodbasedonbytecodeimageanddeeplearning |