Conferences

• A. Vaskevich, T. Dahanayaka, G. Jourjon, S. Seneviratne, “SMAUG: Streaming Media Augmentation Using CGANs as a Defence Against Video Fingerprinting”, In proceedings of the 20th IEEE International Symposium on Network Computing and Applications (NCA) 2021. (Paper)

• T. Dahanayaka, G. Jourjon, S. Seneviratne, “Understanding Traffic Fingerprinting CNNs“, In proceedings of the 2020 IEEE 45th Conference on Local Computer Networks (LCN). (Slides)

• W. Yao, Y. Li, W. Lin, T. Hu, I. Chowdhury, R. Massod, S. Seneviratne, “Security Apps Under the Looking Glass: An Empirical Analysis of Android Security Apps“, In proceedings of the 2020 IEEE 45th Conference on Local Computer Networks (LCN). (Slides)

• K. Abeywardena, J. Zhao, L. Brent, S. Seneviratne, R. Holz, “Triplet Mining-based Phishing Webpage Detection“, In proceedings of the 2020 IEEE 45th Conference on Local Computer Networks (LCN). (Slides) (Paper)

• K. N. Choi, Y. A. Wijesinghe, C. Kattadige, K. Thilakarathna, S. Seneviratne, G. Jourjon, “SETA: Scalable Encrypted Traffic Analytics in Multi-Gbps Networks“, In proceedings of the 2020 IEEE 45th Conference on Local Computer Networks (LCN). 

• N. Liyanage, S. Jayaweera, C. Wijenayake, C. Edussooriya, S. Seneviratne, “Making Sense of Occluded Scenes: A combined approach of light field pre-processing and deep-learning”, In proceedings of the IEEE Region 10 Conference 2020 (TENCON).

• J-C. Liou, S. Jain, S. Randhir, D. Taksinwarajan, S. Seneviratne, “Demo Abstract: Side-Channel Information Leaks of Z-Wave Smart Home IoT Devices”, In Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys), 2020.

• H. Kolamunna, J. Li, T. Dahanayaka, S. Seneviratne, K. Thilakarathna, A. Zomaya, and A. Seneviratne, “POSTER: AcousticPrint: Acoustic Signature based Open Set Drone Identification“, In Proceedings of 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) 2020.

• Z. Abaid, A. Shaghaghi, R. Gunawardena, S. Seneviratne, A. Seneviratne, S. Jha, “Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud“, In Proceedings of 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS) 2020.

• K. N. Choi, T. Dahanayaka, D. Kennedy, K. Thilakarathna, S. Seneviratne, S. Kanhere, P. Mohapatra, “POSTER ABSTRACT: Passive Activity Classification of Smart Homes through Wireless Packet Sniffing“, In Proceedings of The International Conference on Information Processing in Sensor Networks (IPSN), 2020.

• J. Rajasegaran, N. Karunanayake, A. Gunathillake, S. Seneviratne, G. Jourjon, “A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps“, In Proceedings of The Web Conference 2019 (WWW). PDF

• J. Rajasegaran, V. Jayasundara, S. Jayasekara, H. Jayasekara,  R. Rodrigo, S. Seneviratne. 2019, “DeepCaps: Going Deeper with Capsule Networks“, In Proceedings of the 2019 Conference on Computer Vision and Pattern Recognition (CVPR’19)

• Y. Yang, D. Smith, S. Seneviratne, “Deep Learning Channel Prediction for Transmit Power Control in Wireless Body Area Networks“, In Proceedings of  2019 IEEE International Conference on Communications (ICC): Ad Hoc and Sensor Networks Symposium.

• V. Jayasundara, S. Jayasekara, H. Jayasekara, J. Rajasegaran, R. Rodrigo, S. Seneviratne, “TextCaps : Handwritten Character Recognition with Very Small Datasets“, In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.

• Y. Li, Y. Huang, S. Seneviratne, K. Thilakarathna, A. Cheng, G. Jourjon, D. Webb, R. Xu, “Deep Content: Unveiling Video Streaming Content From Encrypted WiFi Traffic”, In Proceedings of the 17th IEEE International Symposium on Network Computing and Applications (NCA), 2018.

• H. Kolamunna, I. Leontiadis, D. Perino, S. Seneviratne, K. Thilakarathna, A. Seneviratne. “A First Look at SIM-Enabled Wearables in the Wild“. In Proceedings of the 18th ACM SIGCOMM Internet Measurements Conference (IMC 2018).

• M. Jahan, S. Seneviratne, B. Chu, A. Seneviratne, S. Jha. “Privacy preserving data access scheme for IoT devices“. In Proceedings of the 16th IEEE International Symposium on Network Computing and Applications (NCA 2017).

• J. Chauhan, Y. Hu, S. Seneviratne, A. Misra, A. Seneviratne, Y. Lee. ”BreathPrint: Breathing Acoustics-based User Authentication”. In Proceedings of ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2017, (Video)

• J. Chauhan, S. Seneviratne, M. A. Kaafar, A. Mahanti,  A. Seneviratne. “Characterization of Early Smartwatch Apps“. In Proceedings of the Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices (WristSense) in conjunction with IEEE Percom, 2016.

• M. Ikram, N. V. Rodriguez, S. Seneviratne, M.A. Kaafar, V. Paxon, “An analysis of the Privacy and Security Risks of Android VPN Permission-enabled Apps”. In Proceedings of the ACM Internet Measurement Conference (IMC), 2016.

• 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 (WWW), 2015.

• S. Seneviratne, H. Kolammune, A. Seneviratne. “Short: 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), 2015.

• S. Seneviratne, F. Jian, M. Cunche, A. Seneviratne. “Short: SSIDs in the Wild: Extracting Semantic Information From WiFi SSIDs”. In Proceedings of the 40th IEEE Local Computer Networks (LCN), 2015.

• S. Seneviratne, A. Seneviratne, P. Mohapatra, A. Mahanti. “Your Installed Apps Reveals Your Gender and More!”. In Proceedings of the 1st Workshop on Security and Privacy aspects of Mobile Environments (SPME) in Conjunction with ACM MobiCom 2014.

• S. Seneviratne, A. Seneviratne, J. Kestenare. “PrivMetrics: A Framework for Quantifying User Privacy in Smartphones”. W3C Workshop on Privacy and User-Centric Controls, 2014.

• S. Seneviratne, A. Seneviratne, P. Mohapatra, P.U. Tournoux “Characterising WiFi Connection And Its Impact On Mobile Users: Practical Insights”. In Proceedings of the 8th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterisation (WINTECH) in Conjunction with ACM MobiCom, 2013.

• S. Seneviratne, A. Seneviratne, P. Mohapatra. “Personal cloudlets for privacy and resource efficiency in mobile in-app advertising”. In Proceedings of the 1st International Workshop on Mobile Cloud Computing and Networking (MCC) in conjunction with ACM MobiHoc 2013.

• A. Seneviratne, K. Thilakarathna, S. Seneviratne, M. A. Kaafar, P. Mohapatra. “Reconciling Bitter Rivals: Towards Privacy-Aware and Bandwidth Efficient Mobile Ads Delivery Networks”. In Proceedings of the 8th COMSNETS, 2012.

Journals

• T. Dahanayaka, G. Jourjon, S. Seneviratne, “Dissecting Traffic Fingerprinting CNNs with Filter Activations“, In proceedings of Elsevier Computer Networks, 2022.

• Li, Y., Huang, Y., Seneviratne, S., Thilakarathna, K., Cheng, A., Jourjon, G., Webb, D., Smith, D.B. and Da Xu, R.Y., 2022. “From traffic classes to content: A hierarchical approach for encrypted traffic classification“. In proceedings of Elsevier Computer Networks, p.109017.

• Huang, Y., Li, Y., Heyes, T., Jourjon, G., Cheng, A., Seneviratne, S., Thilakarathna, K., Webb, D. and Da Xu, R.Y., 2022. “Task Adaptive Siamese Neural Networks for Open-Set Recognition of Encrypted Network Traffic With Bidirectional Dropout“. In proceedings of Elsevier Pattern Recognition Letters.

• Zhao, J., Masood, R., & Seneviratne, S. “A Review of Computer Vision Methods in Network Security“. In Proceedings of IEEE Communications Surveys & Tutorials, 2021.

• C. Kattadige, K. N. Choi, Y. A. Wijesinghe,  A. Nama, K. Thilakarathna, S. Seneviratne, G. Jourjon, “SETA: Scalable Encrypted Traffic Analytics in Multi-Gbps Networks“, In Proceedings of IEEE Transactions on Network and Service Management.

• H. Kolamunna, T. Dahanayaka, J. Li, S. Seneviratne, K. Thilakarathna, A. Zomaya, and A. Seneviratne, “DronePrint: Acoustic Signatures for Open-set Drone Detection and Identification with Online Data,” In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 5, 1, Article 20 (March 2021) (pdf).

• Sooriyaarachchi, J., Seneviratne, S., Thilakarathna, K., & Zomaya, A. Y. (2020). “MusicID: A Brainwave-based User Authentication System for Internet of Things“. In Proceedings of the IEEE Internet of Things Journal (IOTJ), vol. 8, no. 10, pp. 8304-8313, 15 May, 2021.

• N. Karunanayake, J. Rajasegaran, A. Gunathillake, S. Seneviratne, G. Jourjon, (2020), “A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store“, In Proceedings of the IEEE Transactions on Mobile Computing, 2020. Preprint PDF.

• Y. Yang, D.Smith, J. Rajasegaran, S. Seneviratne, “Power Control for Body Area Networks: Accurate Channel Prediction by Lightweight Deep Learning“, In Proceedings of the IEEE Internet of Things Journal (IOTJ), vol. 8, no. 5, pp. 3567-3575, 1 March, 2021.

• K. Choi, H. Kolamunna, A. Uyanwatta, K. Thilakarathna, S. Seneviratne, R. Holz, M. Hassan, A. Zomaya, “LoRadar: LoRa Sensor Network Monitoring through Passive Packet Sniffing“, In Proceedings of the ACM SIGCOMM Computer Communication Review (CCR), 50, 4 (October 2020), 10–24.

• J. Chauhan, J. Rajasegaran, S. Seneviratne, A. Misra, Y. Lee, and A. Seneviratne, “Performance characterization of deep learning models for breathing-based authentication on resource-constrained devices,” In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(4), 158. 2018.

• M. Jahan, S. Seneviratne, P.S. Roy, K. Sakurai, A. Seneviratne, S. Jha, “Light weight and fine-grained access mechanism for secure access to outsourced data“. In Proceedings of Concurrency and Computation: Practice and Experience (CCPE), 2018.e4736.

• J. Chauhan, S. Seneviratne, A. Misra, A. Seneviratne, Y. Lee, “BreathRNNet: Breathing Based Authentication on Resource-Constrained IoT Devices using RNNs“. In Proceedings of IEEE Computer 51.5 (2018): 60-67.

• S. Seneviratne, Y. Hu, T. Nguyen, G. Lan, S. Khalifa, K. Thilakarathna, M. Hassan, A. Seneviratne, “A Survey of Wearable Devices and Challenges“. In Proceedings of IEEE Communications Surveys & Tutorials (COMST), 19(4), 2573-2620, 2017.

• D. Surian, S. Seneviratne, A. Seneviratne, and S. Chawla, “App Mis-categorization Detection: A Case Study on Google Play“. In Proceedings of IEEE Transactions on Data and Knowledge Engineering (TKDE), 2017.

• S. Seneviratne, A. Seneviratne, M. A. Kaafar, A. Mahanti, P. Mohapatra. “Spam Mobile Apps: Characteristics, Detection, and in the Wild Analysis“. In Proceedings of ACM Transactions on the Web (TWEB): Volume 11 Issue 1, April 2017.

• T. Thilakarathna, S. Seneviratne, K. Gupta, M. A. Kaafar, A. Seneviratne. “A Deep Dive into Location-based Communities in Social Discovery Networks“, In Proceedings of Elsevier Computer Communications (COMCOM), 2017.

• S. Seneviratne, A. Seneviratne, P. Mohapatra, A. Mahanti. “Your Installed Apps Reveals Your Gender and More!”. In Proceedings of the ACM SIGMOBILE Computing and Communications Review (MCCR) Volume 18 Issue 3 p55-6, 2015.

• 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 (MCCR) Volume 18 Issue 2 p1-8, 2014.