Amanote Research
Register
Sign In
FraudDroid: Automated Ad Fraud Detection for Android Apps
doi 10.1145/3236024.3236045
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2018
Authors
Feng Dong
Haoyu Wang
Li Li
Yao Guo
Tegawendé F. Bissyandé
Tianming Liu
Guoai Xu
Jacques Klein
Publisher
ACM Press
Related search
SMV-HUNTER: Large Scale, Automated Detection of SSL/TLS Man-In-The-Middle Vulnerabilities in Android Apps
GUI Design for Android Apps, Part 2: The Android-Specific GUI
On Vulnerability Evolution in Android Apps
How Maintainability Issues of Android Apps Evolve
A Dynamic Taint Forensic Analysis Tool for Android Apps
Mining Android Apps to Predict Market Ratings
SimiDroid: Identifying and Explaining Similarities in Android Apps
Ransomware Detection System for Android Applications
Electronics (Switzerland)
Control
Electronic Engineering
Signal Processing
Computer Networks
Systems Engineering
Hardware
Communications
Electrical
Architecture
Adaptive Model for Credit Card Fraud Detection
International Journal of Interactive Mobile Technologies
Computer Networks
E-learning
Computer Science Applications
Communications
