activity
20182021
most citedMadDroid: Characterising and Detecting Devious Ad Content for Android Apps

41 citations · 44 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE20212 cited

A Systematic Assessment on Android Third-party Library Detection Tools

Xian Zhan, Tianming Liu, Yepang Liu +4

Third-party libraries (TPLs) have become a significant part of the Android ecosystem. Developers can employ various TPLs to facilitate their app development. Unfortunately, the pop…

cs.PL20211 cited

Unleashing the Hidden Power of Compiler Optimization on Binary Code Difference: An Empirical Study

Xiaolei Ren, Michael Ho, Jiang Ming +2

Since compiler optimization is the most common source contributing to binary code differences in syntax, testing the resilience against the changes caused by different compiler opt…

cs.CR202041 cited

MadDroid: Characterising and Detecting Devious Ad Content for Android Apps

Tianming Liu, Haoyu Wang, Li Li +6

Advertisement drives the economy of the mobile app ecosystem. As a key component in the mobile ad business model, mobile ad content has been overlooked by the research community, w…

cs.NI2018

Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets

Haoyu Wang, Zhe Liu, Jingyue Liang +6

China is one of the largest Android markets in the world. As Chinese users cannot access Google Play to buy and install Android apps, a number of independent app stores have emerge…

cs.CY2018

Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications

Yangyu Hu, Haoyu Wang, Yajin Zhou +4

In this work, we are focusing on a new and yet uncovered way for malicious apps to gain profit. They claim to be dating apps. However, their sole purpose is to lure users into purc…