URefFlow: a unified android malware detection model based on reflective calls

Liu, Chao, Li, Jianan, Yu, Min, Li, Gang, Luo, Bo, Chen, Kai, Jiang, Jianguo and Huang, Weiqing 2018, URefFlow: a unified android malware detection model based on reflective calls, in IPCCC 2018 : Proceedings of the IEEE 37th International Performance Computing and Communications Conference, IEEE, Piscataway, N.J., doi: 10.1109/PCCC.2018.8711111.

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Title URefFlow: a unified android malware detection model based on reflective calls
Author(s) Liu, Chao
Li, Jianan
Yu, Min
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Luo, Bo
Chen, Kai
Jiang, Jianguo
Huang, Weiqing
Conference name International Performance Computing and Communications. Conference (37th : 2018, Orlando, Florida))
Conference location Orlando, Florida
Conference dates 2018/11/17 - 2018/11/19
Title of proceedings IPCCC 2018 : Proceedings of the IEEE 37th International Performance Computing and Communications Conference
Publication date 2018
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Computer Science, Hardware & Architecture
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Data-flow
Reflection
Standardization
Android malware detection
ISBN 9781538668085
Language eng
DOI 10.1109/PCCC.2018.8711111
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30122715

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