7 citations · 11 across the 5 of their papers we have counts for
5 papers
AppQ: Warm-starting App Recommendation Based on View Graphs
Dan Su, Jiqiang Liu, Sencun Zhu +3
Current app ranking and recommendation systems are mainly based on user-generated information, e.g., number of downloads and ratings. However, new apps often have few (or even no)…
"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills
Dan Su, Jiqiang Liu, Sencun Zhu +2
The home voice assistants such as Amazon Alexa have become increasingly popular due to many interesting voice-activated services provided through special applications called skills…
DeviceWatch: Identifying Compromised Mobile Devices through Network Traffic Analysis and Graph Inference
Euijin Choo, Mohamed Nabeel, Mashael Alsabah +3
In this paper, we propose to identify compromised mobile devices from a network administrator's point of view. Intuitively, inadvertent users (and thus their devices) who download…
Discovering Communities of Malapps on Android-based Mobile Cyber-physical Systems
Dan Su, Jiqiang Liu, Wei Wang +3
Android-based devices like smartphones have become ideal mobile cyber-physical systems (MCPS) due to their powerful processors and variety of sensors. In recent years, an explosive…
Harnessing the power of Social Bookmarking for improving tag-based Recommendations
Georgios Pitsilis, Wei Wang
Social bookmarking and tagging has emerged a new era in user collaboration. Collaborative Tagging allows users to annotate content of their liking, which via the appropriate algori…