Publications

[1] Chauhan, J., Seneviratne, S., Kaafar, M. A., Mahanti, A., & Seneviratne, A. (2016, March). Characterization of early smartwatch apps. In 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) (pp. 1-6). IEEE. pdf

[2] S. Seneviratne, A. Seneviratne, M. A. Kaafar, A. Mahanti, P. Mohapatra. “Early Detection of Spam Mobile Apps”. In Proceedings of the 24th International Conference on World Wide Web’15 (WWW) p949-959, Florence, Italy. May, 2015. pdf   Slides

[3] S. Seneviratne, H. Kolamunna, A. Seneviratne. “A Measurement Study of Tracking in Paid Mobile Applications”. In Proceedings of the 8th ACM Conference on Security and Privacy in  Wireless and Mobile Networks (WiSec), New York City, USA. June, 2015. pdf   Slides

[4] S. Seneviratne, A. Seneviratne, P. Mohapatra, A. Mahanti. “Predicting user traits from a snapshot of apps installed on a smartphone”. In Proceedings of the ACM SIGMOBILE Computing and Communications Review Volume 18 Issue 2 p1-8, 2014. pdf

[5] S Seneviratne, A Seneviratne, P Mohapatra, A Mahanti. “Your installed apps reveal your gender and more!”. In Proceedings of the ACM SIGMOBILE Computing and Communications Review Volume 18 Issue 3 p55-61, 2015. pdf

[6] S. Seneviratne, A. Seneviratne, J. Kestenare. “PrivMetrics: A Framework for Quantifying User Privacy in Smartphones”. W3C Workshop on Privacy and User Centric Controls, Berlin, Germany, November 2014. pdf

[7]  S. Seneviratne, J. Kestenare, A. Seneviratne, M. A. Kaafar, P. Mohapatra ”PrivMetrics: Quantifying User Privacy in Smartphones” [Highly commended Poster Award in the 2014 ADC PhD School in Big Data. Brisbane, Australia, Jul 2014]. pdf