| 2024 | iMIA: Interdependent Mission Impact Assessment Using Subjective Bayesian Networks. | Han Jun Yoon, Ashrith Reddy Thukkaraju, Shou Matsumoto, Jair Feldens Ferrari, Donghwan Lee, Myung Kil Ahn, Paulo C. G. Costa, Jin-Hee Cho |
| 2024 | Network Slice Robustness with Function Sets. | Nour-El-Houda Yellas, Jeongku Choi, Prosper Chemouil, Stefano Secci, Deep Medhi |
| 2024 | Impact of Graph-to-Sequence Conversion Methods on the Accuracy of Graph Generation for Network Simulations. | Kazuhiro Yasuda, Sho Tsugawa, Kohei Watabe |
| 2024 | An Efficient FEC Scheme with SLA Consideration for Low Latency Transmissions. | Chao Xu, Jessie Hui Wang, Rui Li, Zongpeng Li, Hao Wu, Jilong Wang |
| 2024 | Machine learning-based estimation of the number of competing flows at a bottleneck link. | Zeyou Xia, Go Hasegawa |
| 2024 | Shells Bells: Cyber-Physical Anomaly Detection in Data Centers. | Lars Wstrich, Sebastian Gallenmller, Stephan M. Gnther, Georg Carle, Marc-Oliver Pahl |
| 2024 | ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification. | Binghui Wu, Philipp Gysel, Dinil Mon Divakaran, Mohan Gurusamy |
| 2024 | Demo: Towards Rapid Prototyping Network-Slicing Solutions in Software-Defined Networks. | Fritz Windisch, Kamyar Abedi, Giang T. Nguyen, Thorsten Strufe |
| 2024 | Distributed Automated Testing Framework for Bluetooth Mesh Applications. | Jorg Wieme, Mathias Baert, Jeroen Hoebeke |
| 2024 | Digital Twin Network for dynamic management of a Bluetooth Mesh Network. | Jorg Wieme, Mathias Baert, Jeroen Hoebeke |
| 2024 | An Enhancement Framework for RDMA Congestion Control in Multi-tenant Datacenters. | Tianshi Wang, Yiran Zhang, Ao Zhou, Shangguang Wang |
| 2024 | TrafficSiam: More Realistic Few-shot Website Fingerprinting Attack with Contrastive Learning. | Shangdong Wang, Zhiliang Wang, Chenglong Li, Dongqi Han, Jiahai Yang, Hui Zhang |
| 2024 | IT Intrusion Detection Using Statistical Learning and Testbed Measurements. | Xiaoxuan Wang, Rolf Stadler |
| 2024 | BatchIT: Intelligent and Efficient Batching for IoT Workloads at the Edge. | Guoxi Wang, Ryan Hildebrant, Andrew Chio, Sharad Mehrotra, Nalini Venkatasubramanian |
| 2024 | Graph Neural Networks for IoT Data Aggregation Scheduling. | Van Vi Vo, Syed M. Raza, Duc-Tai Le, Moonseong Kim, Hyunseung Choo |
| 2024 | MLOps in CPS - a use-case for image recognition in changing industrial settings. | Pl Varga, dm Kovri, Mrton Herkules, Csaba Hegeds |
| 2024 | Proposal and Investigation of a Distributed Learning Strategy for training of Neural Networks in Earth Observation Application Scenarios. | Francesco Valente, Francesco Giacinto Lavacca, Tiziana Fiori, Vincenzo Eramo |
| 2024 | Towards Intent-based Configuration for Network Function Virtualization using In-context Learning in Large Language Models. | Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2024 | To Squelch or not to Squelch: Enabling Improved Message Dissemination on the XRP Ledger. | Lucian Trestioreanu, Flaviene Scheidt de Cristo, Wazen M. Shbair, Jrme Franois, Damien Magoni, Radu State |
| 2024 | The True Cost of Network Security Automation: Demo Playbook for Posture Assessment. | Daniel Tovarnk, Michal Cech, Vojtech Dohnal, Martin Hamernk, Mats Racek, Dusan Tich |
| 2024 | Utilizing Generative AI for Test Data Generation - use-cases for IoT and 5G Core Signaling. | Tams Tthfalusi, Zoltn Csiszr, Pl Varga |
| 2024 | A Game-theoretic Approach for DDoS Attack Mitigation in IIoT Deterministic Networking. | Thierry M. Ndimis Ndimis Toko, Martine Bellache, Talal Halabi |
| 2024 | Multi-agent Reinforcement Learning-based Network Intrusion Detection System. | Amine Tellache, Amdjed Mokhtari, Abdelaziz Amara Korba, Yacine Ghamri-Doudane |
| 2024 | Gamu Blue: A Practical Tool for Game Theory Security Equilibria. | Ameer Taweel, Burcu Yildiz, Alptekin Kp |
| 2024 | TimeGAN as a Simulator for Reinforcement Learning Training in Programmable Data Planes. | Thiago Caproni Tavares, Leandro C. de Almeida, Washington Rodrigo Dias da Silva, Marco Chiesa, Fbio L. Verdi |