| 2024 | A ML-Based Model for Evaluating the Power Consumption of Network Devices. | Chi-Sheng Hsu, Yi-Cheng Chu, Ya-Ping Huang, Lung-Chin Huang, Che-Chun Teng, Chin-Ping Chuang |
| 2024 | Unmasking the Phishermen: Phishing Domain Detection with Machine Learning and Multi-Source Intelligence. | Radek Hranick, Adam Hork, Jan Polisensk, Kamil Jerbek, Ondrej Rysav |
| 2024 | AIMS5.0 AI Toolbox: Enabling Efficient Knowledge Sharing for Industrial AI. | Gergely Hollsi, Dniel Ficzere, Attila Frank, Mt Bancsics, Ruba Almahasneh, Csaba Lukovszki, Pl Varga |
| 2024 | Katoptron: Efficient State Mirroring for Middlebox Resilience. | Lyn Hill, Charalampos Rotsos, Christopher Edwards, David Hutchison |
| 2024 | Peaking Beyond the Best Route: An Extensive Dataset for Looking Glasses. | Pascal Hennen, Poornima Mani, Anja Feldmann |
| 2024 | Co-pilots for Arrowhead-based Cyber-Physical System of Systems Engineering. | Csaba Hegeds, Pl Varga |
| 2024 | Analysis of Diffusion Process of ICN Based on Economic Factors. | Shuntaro Hashimoto, Makoto Misumi, Noriaki Kamiyama |
| 2024 | Discovery of Cloud Incidents through Streaming Consolidation of Events across Timeline and Topology Hierarchy. | Ashot N. Harutyunyan, Arnak V. Poghosyan, Tigran Bunarjyan, Naira Grigoryan, Artur Grigoryan, Vahan Tadevosyan, Nelson Baloian |
| 2024 | An Artificial Intelligence Framework for Dynamic Selection and Resource Allocation for EVs in Vehicular Networks. | Monishanker Halder, Apurba Adhikary, Seong-Bae Park, Choong Seon Hong |
| 2024 | Eliminating Bottlenecks in MANETs. | Klement Hagenhoff, Gabi Dreo Rodosek |
| 2024 | Reconfiguration with Virtual Gate Control List for Deterministic Transmission in Time-Sensitive Networks. | Mengjie Guo, Guochu Shou, Yaqiong Liu, Yihong Hu |
| 2024 | Adaptive Configuration with Deep Reinforcement Learning in Software-Defined Time-Sensitive Networking. | Mengjie Guo, Guochu Shou, Yaqiong Liu, Yihong Hu |
| 2024 | Realizing Open and Decentralized Marketplace for Exchanging Data of Expected IoT Behaviors. | Song Guo, Minzhao Lyu, Hassan Habibi Gharakheili |
| 2024 | Demonstrating the Energy Consumption of Radio Access Networks in Container Clouds. | Venkateswarlu Gudepu, Rajashekhar Reddy Tella, Carlo Centofanti, Jos Santos, Andrea Marotta, Koteswararao Kondepu |
| 2024 | Improving the Traffic Engineering of SDN networks by using Local Multi-Agent Deep Reinforcement Learning. | Jos Gmez-delaHiz, Jaime Galn-Jimnez |
| 2024 | Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning. | Patrik Goldschmidt, Jan Kucera |
| 2024 | Anomaly Detection in Security Logs using Sequence Modeling. | Simon G. E. Gkstorp, Jakob Nyberg, Yeongwoo Kim, Pontus Johnson, Gyrgy Dn |
| 2024 | On-demand network bandwidth reservation method exploiting machine learning intuitive judgment. | Kouichi Genda |
| 2024 | Orchestrating Multi-Tenant Code Updates Across Multiple Programmable Switches. | Timo Geier, Sebastian Rieger |
| 2024 | Improving Multi-Tenant I/O-Acceleration for Containerized Network Function Environments. | Timo Geier |
| 2024 | Transport Assistants to Enhance TCP Performance: Analysis of the Packet Delivery Delay. | Jaime Galn-Jimnez, Mohamed Faten Zhani, Luis Jess Martn Len, John Kaippallimalil |
| 2024 | Open RAN Embracing Continual Learning: Towards NextG Adaptive Traffic Analysis. | Mrityunjoy Gain, Avi Deb Raha, Apurba Adhikary, Kitae Kim, Choong Seon Hong |
| 2024 | A Blockchain-based Approach for Continuous Auditing in IT Change Management. | Carlos Fraga, Antnio J. G. Abelm, Vinicius C. M. Borges, Billy Pinheiro, Weverton Cordeiro |
| 2024 | Latency-Aware Cache Mechanism for Resolver Service of Domain Name Systems. | Ibirisol Fontes Ferreira, Eiji Oki |
| 2024 | Practical Anomaly Detection in Internet Services: An ISP centric approach. | Alex Huang Feng, Pierre Franois, Kensuke Fukuda, Wanting Du, Thomas Graf, Paolo Lucente, Stphane Frnot |