Android malware detection based on APK signature information feedback
A new malware detection method based on APK signature of information feedback (SigFeedback) was proposed.Based on SVM classification algorithm,the method of eigenvalue extraction adoped heuristic rule learning to sig APK information verify screening,and it also implemented the heuristic feedback,fro...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2017-05-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017095/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539492881629184 |
|---|---|
| author | Xin-yu LIU Jian WENG Yue ZHANG Bing-wen FENG Jia-si WENG |
| author_facet | Xin-yu LIU Jian WENG Yue ZHANG Bing-wen FENG Jia-si WENG |
| author_sort | Xin-yu LIU |
| collection | DOAJ |
| description | A new malware detection method based on APK signature of information feedback (SigFeedback) was proposed.Based on SVM classification algorithm,the method of eigenvalue extraction adoped heuristic rule learning to sig APK information verify screening,and it also implemented the heuristic feedback,from which achieved the purpose of more accurate detection of malicious software.SigFeedback detection algorithm enjoyed the advantage of the high detection rate and low false positive rate.Finally the experiment show that the SigFeedback algorithm has high efficiency,making the rate of false positive from 13% down to 3%. |
| format | Article |
| id | doaj-art-366bbbfdc6e34c6b9a634c3fd7e7128b |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-366bbbfdc6e34c6b9a634c3fd7e7128b2025-01-14T07:12:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-05-013819019859710603Android malware detection based on APK signature information feedbackXin-yu LIUJian WENGYue ZHANGBing-wen FENGJia-si WENGA new malware detection method based on APK signature of information feedback (SigFeedback) was proposed.Based on SVM classification algorithm,the method of eigenvalue extraction adoped heuristic rule learning to sig APK information verify screening,and it also implemented the heuristic feedback,from which achieved the purpose of more accurate detection of malicious software.SigFeedback detection algorithm enjoyed the advantage of the high detection rate and low false positive rate.Finally the experiment show that the SigFeedback algorithm has high efficiency,making the rate of false positive from 13% down to 3%.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017095/false positive ratemalicious applicationheuristic learningeffectivenessdetection rate |
| spellingShingle | Xin-yu LIU Jian WENG Yue ZHANG Bing-wen FENG Jia-si WENG Android malware detection based on APK signature information feedback Tongxin xuebao false positive rate malicious application heuristic learning effectiveness detection rate |
| title | Android malware detection based on APK signature information feedback |
| title_full | Android malware detection based on APK signature information feedback |
| title_fullStr | Android malware detection based on APK signature information feedback |
| title_full_unstemmed | Android malware detection based on APK signature information feedback |
| title_short | Android malware detection based on APK signature information feedback |
| title_sort | android malware detection based on apk signature information feedback |
| topic | false positive rate malicious application heuristic learning effectiveness detection rate |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017095/ |
| work_keys_str_mv | AT xinyuliu androidmalwaredetectionbasedonapksignatureinformationfeedback AT jianweng androidmalwaredetectionbasedonapksignatureinformationfeedback AT yuezhang androidmalwaredetectionbasedonapksignatureinformationfeedback AT bingwenfeng androidmalwaredetectionbasedonapksignatureinformationfeedback AT jiasiweng androidmalwaredetectionbasedonapksignatureinformationfeedback |