FraudDroid, a novel hybrid approach to detect ad frauds in mobile Android apps. FraudDroid analyses apps dynamically to build UI state transition graphs.

By analysing 12,000 ad-supported Android apps, FraudDroid iden- tified 335 cases of fraud associated with 20 ad networks that are further confirmed to be true ...

Sep 5, 2017 · Abstract:Although mobile ad frauds have been widespread, state-of-the-art approaches in the literature have mainly focused on detecting the ...

FraudDroid is proposed, a novel hybrid approach to detect ad frauds in mobile Android apps that analyses apps dynamically to build UI state transition ...

By analysing 12,000 ad-supported Android apps, FraudDroid identified 335 cases of fraud associated with 20 ad networks that are further confirmed to be true ...

ABSTRACT. Although mobile ad frauds have been widespread, state-of-the-art approaches in the literature have mainly focused on detecting the.

This folder includes typical examples of nine types of ad fraud. Each demo is named after the fruad type and the package name and contains the UI state ...

2018 • In ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018). Peer reviewed.

FraudDroid: Automated Ad Fraud Detection for Android Apps by Feng Dong, Haoyu Wang, Li Li, Yao Guo, Tegawendé F. Bissyandé, Tianming Liu, Guoai Xu,

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...