Suranga Seneviratne

According to our database1, Suranga Seneviratne authored at least 19 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps.
CoRR, 2018

Breathing-Based Authentication on Resource-Constrained IoT Devices using Recurrent Neural Networks.
IEEE Computer, 2018

Spam Mobile Apps: Characteristics, Detection, and in the Wild Analysis.
TWEB, 2017

App Miscategorization Detection: A Case Study on Google Play.
IEEE Trans. Knowl. Data Eng., 2017

BreathRNNet: Breathing Based Authentication on Resource-Constrained IoT Devices using RNNs.
CoRR, 2017

A Survey of Wearable Devices and Challenges.
IEEE Communications Surveys and Tutorials, 2017

A deep dive into location-based communities in social discovery networks.
Computer Communications, 2017

Privacy preserving data access scheme for IoT devices.
Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

BreathPrint: Breathing Acoustics-based User Authentication.
Proceedings of the 15th Annual International Conference on Mobile Systems, 2017

Characterization of early smartwatch apps.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

An Analysis of the Privacy and Security Risks of Android VPN Permission-enabled Apps.
Proceedings of the 2016 ACM on Internet Measurement Conference, 2016

Early Detection of Spam Mobile Apps.
Proceedings of the 24th International Conference on World Wide Web, 2015

A measurement study of tracking in paid mobile applications.
Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks, 2015

SSIDs in the wild: Extracting semantic information from WiFi SSIDs.
Proceedings of the 40th IEEE Conference on Local Computer Networks, 2015

Your Installed Apps Reveal Your Gender and More!
Mobile Computing and Communications Review, 2014

Predicting user traits from a snapshot of apps installed on a smartphone.
Mobile Computing and Communications Review, 2014

Your installed apps reveal your gender and more!
Proceedings of the ACM MobiCom Workshop on Security and Privacy in Mobile Environments, 2014

Characterizing WiFi connection and its impact on mobile users: practical insights.
Proceedings of the 8th ACM International Workshop on Wireless Network Testbeds, 2013

Reconciling bitter rivals: Towards privacy-aware and bandwidth efficient mobile Ads delivery networks.
Proceedings of the Fifth International Conference on Communication Systems and Networks, 2013