Paper published in a book (Scientific congresses, symposiums and conference proceedings)
FraudDroid: Automated Ad Fraud Detection for Android Apps
Dong, Feng; Wang, Haoyu; Li, Li et al.
2018In ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018)
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Dong, Feng;  Beijing University of Posts and Telecommunications, China
Wang, Haoyu;  Beijing University of Posts and Telecommunications, China
Li, Li;  Monash University
Guo, Yao;  Peking University
Bissyande, Tegawendé François D Assise  ;  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 ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
FraudDroid: Automated Ad Fraud Detection for Android Apps
Publication date :
November 2018
Event name :
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018)
Event place :
Lake Buena Vista, United States
Event date :
Nov. 2018
Audience :
International
Main work title :
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018)
Pages :
257-268
Peer reviewed :
Peer reviewed
FnR Project :
FNR11693861 - Characterization Of Malicious Code In Mobile Apps: Towards Accurate And Explainable Malware Detection, 2017 (01/06/2018-31/12/2021) - Jacques Klein
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since 31 December 2018

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