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ORCIDStudentWorkshop@CoNEXT 2022: Rome, Italy
- Narseo Vallina-Rodriguez, Jon Crowcroft:
Proceedings of the 3rd International CoNEXT Student Workshop, CoNEXT-SW 2022, Rome, Italy, 9 December 2022. ACM 2022, ISBN 978-1-4503-9937-1 - Stavros Eleftherakis, Giuseppe Santaromita, Maurizio Rea, Timothy Otim, Domenico Giustiniano
:
Covid-19 contact tracing through multipath profile similarity. 1-3 - Vera Sosnovik, Oana Goga:
How to define political ads? 4-6 - Loc Gia Nguyen, Kohei Watabe:
Flow-based network intrusion detection based on BERT masked language model. 7-8 - Olivier Roques, Luca Muscariello:
On the joint optimization of security, scalability and decentralization of real-time group communications. 9-11 - Anne Josiane Kouam, Aline Carneiro Viana, Alain Tchana:
Simulating SIMBox frauds for detection investigation. 12-14 - Shuo Li, Steven Wei Der Chien, Michio Honda:
FlexPort: transport scale-out with modern NICs. 15-16 - Louis Navarre, Nicolas Rybowski, Olivier Bonaventure:
Experimenting with bit index explicit replication. 17-19 - Nikita Tyunyayev, Maxime Piraux, Olivier Bonaventure, Tom Barbette:
A high-speed QUIC implementation. 20-22 - Hiba Mallouhi, Sándor Laki:
Towards disaggregated P4 pipelines with information exchange minimization. 23-25 - Aniketh Girish, Vijay Prakash, Serge Egelman, Joel Reardon, Juan Tapiador, Danny Yuxing Huang, Srdjan Matic, Narseo Vallina-Rodriguez:
Challenges in inferring privacy properties of smart devices: towards scalable multi-vantage point testing methods. 26-28 - Sougol Gheissi, Sana Mahmood, Soudeh Ghorbani:
Burstiness in data center topologies. 29-31 - Shuwen Sun, David R. Choffnes:
Toward flexible auditing for in-network functionality. 32-34 - Maximilian Stephan, Patrick Krämer, Wolfgang Kellerer:
AwareNet: using WSBMs for network traffic analyis. 35-36 - Wangyu Choi, Jongwon Yoon:
MetaABR: environment-adaptive video streaming system with meta-reinforcement learning. 37-39 - Long Zhang, Bo He, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao:
DeepQuic: multi-path QUIC scheduling for 5G core network. 40-41 - Andrea Monterubbiano, Raphaël Azorin, Gabriele Castellano, Massimo Gallo, Salvatore Pontarelli:
Learned data structures for per-flow measurements. 42-43
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