3 citations · 3 across the 1 of their papers we have counts for
4 papers
SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices
Ruitao Feng, Jing Qiang Lim, Sen Chen +2
With the proliferation of Android malware, the demand for an effective and efficient malware detection system is on the rise. The existing device-end learning based solutions tend…
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices
Ruitao Feng, Sen Chen, Xiaofei Xie +3
Currently, Android malware detection is mostly performed on server side against the increasing number of malware. Powerful computing resource provides more exhaustive protection fo…
Efficiently Manifesting Asynchronous Programming Errors in Android Apps
Lingling Fan, Ting Su, Sen Chen +4
Android, the #1 mobile app framework, enforces the single-GUI-thread model, in which a single UI thread manages GUI rendering and event dispatching. Due to this model, it is vital…
Towards Efficient Data-flow Test Data Generation
Ting Su, Chengyu Zhang, Yichen Yan +5
Data-flow testing (DFT) aims to detect potential data interaction anomalies by focusing on the points at which variables receive values and the points at which these values are use…