Reference : FraudDroid: Automated Ad Fraud Detection for Android Apps
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/37891
FraudDroid: Automated Ad Fraud Detection for Android Apps
English
Dong, Feng [Beijing University of Posts and Telecommunications, China]
Wang, Haoyu [Beijing University of Posts and Telecommunications, China]
Li, Li mailto [Monash University]
Guo, Yao [Peking University]
Bissyande, Tegawendé François D Assise mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Liu, Tianming [Beijing University of Posts and Telecommunications, China]
Xu, Guoai [Beijing University of Posts and Telecommunications, China]
Klein, Jacques mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC) >]
Nov-2018
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018)
257-268
Yes
International
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018)
Nov. 2018
Lake Buena Vista
USA
http://hdl.handle.net/10993/37891
FnR ; FNR11693861 > Jacques Klein > CHARACTERIZE > Characterization of Malicious Code in Mobile Apps: Towards Accurate and Explainable Malware Detection > 01/06/2018 > 31/05/2021 > 2017

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
2018-FSE-FraudDroid (1).pdfAuthor preprint1.92 MBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.