activity
20162021
most citedMopEye: Opportunistic Monitoring of Per-app Mobile Network Performance

19 citations · 36 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CR2021★ 1 cited

AGChain: A Blockchain-based Gateway for Trustworthy App Delegation from Mobile App Markets

Mengjie Chen, Xiao Yi, Daoyuan Wu +3

The popularity of smartphones has led to the growth of mobile app markets, creating a need for enhanced transparency, global access, and secure downloading. This paper introduces A…

cs.CR2020★ 1 cited

When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid

Daoyuan Wu, Debin Gao, Robert H. Deng +1

Widely-used Android static program analysis tools, e.g., Amandroid and FlowDroid, perform the whole-app inter-procedural analysis that is comprehensive but fundamentally difficult…

cs.SE2019

Scalable Online Vetting of Android Apps for Measuring Declared SDK Versions and Their Consistency with API Calls

Daoyuan Wu, Debin Gao, David Lo

Android has been the most popular smartphone system with multiple platform versions active in the market. To manage the application's compatibility with one or more platform versio…

cs.CR2018★ 5 cited

SCLib: A Practical and Lightweight Defense against Component Hijacking in Android Applications

Daoyuan Wu, Yao Cheng, Debin Gao +2

Cross-app collaboration via inter-component communication is a fundamental mechanism on Android. Although it brings the benefits such as functionality reuse and data sharing, a thr…

cs.SE2017★ 5 cited

Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps

Daoyuan Wu, Ximing Liu, Jiayun Xu +2

Android has been the most popular smartphone system, with multiple platform versions (e.g., KITKAT and Lollipop) active in the market. To manage the application's compatibility wit…

cs.NI2017★ 19 cited

MopEye: Opportunistic Monitoring of Per-app Mobile Network Performance

Daoyuan Wu, Rocky K. C. Chang, Weichao Li +2

Crowdsourcing mobile user's network performance has become an effective way of understanding and improving mobile network performance and user quality-of-experience. However, the c…

cs.NI2016★ 3 cited

MopEye: Monitoring Per-app Network Performance with Zero Measurement Traffic

Daoyuan Wu, Weichao Li, Rocky K. C. Chang +1

Mobile network performance measurement is important for understanding mobile user experience, problem diagnosis, and service comparison. A number of crowdsourcing measurement apps…

cs.CR2016★ 2 cited

SecComp: Towards Practically Defending Against Component Hijacking in Android Applications

Daoyuan Wu, Debin Gao, Yingjiu Li +1

Cross-app collaboration via inter-component communication is a fundamental mechanism on Android. Although it brings the benefits such as functionality reuse and data sharing, a thr…