HTTP behavior characteristics generation and extraction approach for Android malware
Growing of Android malware，not only seriously endangered the security of the Android market，but also brings challenges for detection.A generation and extraction approach of automatic Android malware behavioral signatures was proposed based on HTTP traffic.Firstly，the behavioral signatures were extra...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2016-08-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016222/ |
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| _version_ | 1841529866945560576 |
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| author | Yaling LUO Wenwei LI Xin SU |
| author_facet | Yaling LUO Wenwei LI Xin SU |
| author_sort | Yaling LUO |
| collection | DOAJ |
| description | Growing of Android malware，not only seriously endangered the security of the Android market，but also brings challenges for detection.A generation and extraction approach of automatic Android malware behavioral signatures was proposed based on HTTP traffic.Firstly，the behavioral signatures were extracted from the traffic traces generated by Android malware.Then，network behavioral characteristics were extracted from the generated network traffic.Finally，these behavioral signatures were used to detect Android malware.The experimental results show that the approach is able to extract Android malware network traffic behavioral signature with accuracy and efficiency. |
| format | Article |
| id | doaj-art-33ed7034ee814171be256eb13d322495 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-08-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-33ed7034ee814171be256eb13d3224952025-01-15T03:14:33ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-08-013213614559607914HTTP behavior characteristics generation and extraction approach for Android malwareYaling LUOWenwei LIXin SUGrowing of Android malware，not only seriously endangered the security of the Android market，but also brings challenges for detection.A generation and extraction approach of automatic Android malware behavioral signatures was proposed based on HTTP traffic.Firstly，the behavioral signatures were extracted from the traffic traces generated by Android malware.Then，network behavioral characteristics were extracted from the generated network traffic.Finally，these behavioral signatures were used to detect Android malware.The experimental results show that the approach is able to extract Android malware network traffic behavioral signature with accuracy and efficiency.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016222/AndroidmalwareHTTPtrafficnetworkbehavioralcharacteristicsecurity |
| spellingShingle | Yaling LUO Wenwei LI Xin SU HTTP behavior characteristics generation and extraction approach for Android malware Dianxin kexue Androidmalware HTTPtraffic networkbehavioralcharacteristic security |
| title | HTTP behavior characteristics generation and extraction approach for Android malware |
| title_full | HTTP behavior characteristics generation and extraction approach for Android malware |
| title_fullStr | HTTP behavior characteristics generation and extraction approach for Android malware |
| title_full_unstemmed | HTTP behavior characteristics generation and extraction approach for Android malware |
| title_short | HTTP behavior characteristics generation and extraction approach for Android malware |
| title_sort | http behavior characteristics generation and extraction approach for android malware |
| topic | Androidmalware HTTPtraffic networkbehavioralcharacteristic security |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016222/ |
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