Poster Abstract: Passive Activity Classification of Smart Homes through Wireless Packet Sniffing. - Kwon Nung Choi; Thilini Dahanayaka; David Kennedy; Kanchana Thilakarathna; Suranga Seneviratne; Salil S. Kanhere; Prasant Mohapatra (IPSN, 2020)

Understanding Traffic Fingerprinting CNNs. - Thilini Dahanayaka; Guillaume Jourjon; Suranga Seneviratne (LCN, 2020)

SMAUG: Streaming Media Augmentation Using CGANs as a Defence Against Video Fingerprinting. - Alexander Vaskevich; Thilini Dahanayaka; Guillaume Jourjon; Suranga Seneviratne (NCA, 2021)

DronePrint: Acoustic Signatures for Open-set Drone Detection and Identification with Online Data. - Harini Kolamunna; Thilini Dahanayaka; Junye Li 003; Suranga Seneviratne; Kanchana Thilakaratne; Albert Y. Zomaya; Aruna Seneviratne (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Inline Traffic Analysis Attacks on DNS over HTTPS. - Thilini Dahanayaka; Zhiyi Wang; Guillaume Jourjon; Suranga Seneviratne (LCN, 2022)

Dissecting traffic fingerprinting CNNs with filter activations. - Thilini Dahanayaka; Guillaume Jourjon; Suranga Seneviratne (Comput. Networks, 2022)

POSTER: Performance Characterization of Binarized Neural Networks in Traffic Fingerprinting. - Yiyan Wang; Thilini Dahanayaka; Guillaume Jourjon; Suranga Seneviratne (AsiaCCS, 2023)

The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting. - Teng-Hui Huang; Thilini Dahanayaka; Kanchana Thilakarathna; Philip H. W. Leong; Hesham El Gamal (GLOBECOM, 2023)

Robust open-set classification for encrypted traffic fingerprinting. - Thilini Dahanayaka; Yasod Ginige; Yi Huang 023; Guillaume Jourjon; Suranga Seneviratne (Comput. Networks, 2023)

TripletViNet: Mitigating Misinformation Video Spread Across Platforms. - Petar Smolovic; Thilini Dahanayaka; Kanchana Thilakarathna (SCID@AsiaCCS, 2024)

Demo: P4Xtnd: P4 Programmability on Resource Constrained Environments with Extended Network Functionalities. - Chamara Madarasingha; Thilini Dahanayaka; Kanchana Thilakarathna; Suranga Seneviratne; Young Choon Lee; Salil S. Kanhere; Aruna Seneviratne; Phil Ridley (SIGCOMM (Posters and Demos), 2024)

Demo: P4 Based In-network ML with Federated Learning to Secure and Slice IoT Networks. - Chamara Madarasingha; Thilini Dahanayaka; Kanchana Thilakarathna; Suranga Seneviratne; Young Choon Lee; Salil S. Kanhere; Albert Y. Zomaya; Aruna Seneviratne; Phil Ridley (WoWMoM, 2025)

A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning. - Nirhoshan Sivaroopan; Kaushitha Silva; Chamara Madarasingha; Thilini Dahanayaka; Guillaume Jourjon; Anura P. Jayasumana; Kanchana Thilakarathna (CoRR, 2025)