By Professor Vijay Sivaraman

Preprints

Septiadi A; Lyu M; Gharakheili HH; Sivaraman V, 2026, Assessing Resilience in Authoritative DNS Infrastructure Supporting Government Services, http://dx.doi.org/10.48550/arxiv.2512.13946

Wang Y; Lyu M; Sivaraman V, 2025, Games Are Not Equal: Classifying Cloud Gaming Contexts for Effective User Experience Measurement, http://dx.doi.org/10.48550/arxiv.2509.19669

Babaria RJ; Lyu M; Batista G; Sivaraman V, 2025, FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets, http://dx.doi.org/10.48550/arxiv.2504.02174

Wang Y; Lyu M; Sivaraman V, 2024, Characterizing User Platforms for Video Streaming in Broadband Networks, http://dx.doi.org/10.48550/arxiv.2408.16995

Tripathi RD; Lyu M; Sivaraman V, 2024, Assessing the Impact of Network Quality-of-Service on Metaverse Virtual Reality User Experience, http://dx.doi.org/10.48550/arxiv.2407.10423

Lyu M; Tripathi RD; Sivaraman V, 2024, MetaVRadar: Measuring Metaverse Virtual Reality Network Activity, http://dx.doi.org/10.48550/arxiv.2402.08286

Lyu M; Madanapalli SC; Vishwanath A; Sivaraman V, 2024, Network Anatomy and Real-Time Measurement of Nvidia GeForce NOW Cloud Gaming, http://dx.doi.org/10.48550/arxiv.2401.06366

Lyu M; Gharakheili HH; Sivaraman V, 2023, A Survey on Enterprise Network Security: Asset Behavioral Monitoring and Distributed Attack Detection, http://dx.doi.org/10.48550/arxiv.2306.16675

Hamza A; Gharakheili HH; Benson TA; Batista G; Sivaraman V, 2023, Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity, http://dx.doi.org/10.48550/arxiv.2304.04987

Lyu M; Gharakheili HH; Sivaraman V, 2022, A Survey on DNS Encryption: Current Development, Malware Misuse, and Inference Techniques, http://dx.doi.org/10.48550/arxiv.2201.00900

Lyu M; Gharakheili HH; Russell C; Sivaraman V, 2022, Analyzing Enterprise DNS Traffic to Classify Assets and Track Cyber-Health, http://dx.doi.org/10.48550/arxiv.2201.07352

Madanapalli SC; Mathai A; Gharakheili HH; Sivaraman V, 2021, Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation, http://dx.doi.org/10.48550/arxiv.2112.02637

Mohottige IP; Gharakheili HH; Sivaraman V; Moors T, 2021, Modeling Classroom Occupancy using Data of WiFi Infrastructure in a University Campus, http://dx.doi.org/10.48550/arxiv.2104.10667

Deng X; Feng Y; Sutjarittham T; Gharakheili HH; Gallego B; Sivaraman V, 2021, Comparing Broadband ISP Performance using Big Data from M-Lab, http://dx.doi.org/10.48550/arxiv.2101.09795

Mahmud R; Toosi AN; Rodriguez MA; Madanapalli SC; Sivaraman V; Sciacca L; Sioutis C; Buyya R, 2020, Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions, http://dx.doi.org/10.48550/arxiv.2010.10509

Hamza A; Gharakheili HH; Sivaraman V, 2020, IoT Network Security: Requirements, Threats, and Countermeasures, http://dx.doi.org/10.48550/arxiv.2008.09339

Chinaei MH; Gharakheili HH; Sivaraman V, 2020, Optimal Witnessing of Healthcare IoT Data Using Blockchain Logging Contract, http://dx.doi.org/10.48550/arxiv.2007.03330

Hu K; Rahman A; Gharakheili HH; Sivaraman V, 2020, HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors, http://dx.doi.org/10.48550/arxiv.2005.13745

Hamza A; Ranathunga D; Gharakheili HH; Benson TA; Roughan M; Sivaraman V, 2019, Verifying and Monitoring IoTs Network Behavior using MUD Profiles, http://dx.doi.org/10.48550/arxiv.1902.02484

Deng X; Feng Y; Gharakheili HH; Sivaraman V, 2019, Estimating Residential Broadband Capacity using Big Data from M-Lab, http://dx.doi.org/10.48550/arxiv.1901.07059

Gharakheili HH; Lyu M; Wang Y; Kumar H; Sivaraman V, 2018, iTeleScope: Intelligent Video Telemetry and Classification in Real-Time using Software Defined Networking, http://dx.doi.org/10.48550/arxiv.1804.09914

Hamza A; Ranathunga D; Gharakheili HH; Roughan M; Sivaraman V, 2018, Clear as MUD: Generating, Validating and Applying IoT Behaviorial Profiles (Technical Report), http://dx.doi.org/10.48550/arxiv.1804.04358

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