- Tung V. Doan, Frank H. P. Fitzek, Giang T. Nguyen:
StateOS: Enabling Versatile Network Function Virtualization in Edge Clouds. NOMS 2024: 1-9 - Nicolas Dupuis, Axel Van Damme, Philippe Dierickx, Olivier Delaby:
Upsampling Aggregated Network Traffic Data with Denoising Diffusion Probabilistic Models. NOMS 2024: 1-6 - Kristina Dzeparoska, Ali Tizghadam, Alberto Leon-Garcia:
Intent Assurance using LLMs guided by Intent Drift. NOMS 2024: 1-7 - Zied Ennaceur, Mounir Bensalem, Cao Vien Phung, André C. Drummond, Admela Jukan:
Enabling 6G Campus Networks Intelligent Control with Digital Twin: A case study. NOMS 2024: 1-6 - Chao Feng, Alberto Huertas Celdrán, Michael Vuong, Gérôme Bovet, Burkhard Stiller:
Voyager: MTD-Based Aggregation Protocol for Mitigating Poisoning Attacks on DFL. NOMS 2024: 1-9 - Alex Huang Feng, Pierre François, Kensuke Fukuda, Wanting Du, Thomas Graf, Paolo Lucente, Stéphane Frénot:
Practical Anomaly Detection in Internet Services: An ISP centric approach. NOMS 2024: 1-4 - Ibirisol Fontes Ferreira, Eiji Oki:
Latency-Aware Cache Mechanism for Resolver Service of Domain Name Systems. NOMS 2024: 1-4 - Carlos Fraga, Antônio J. G. Abelém, Vinicius C. M. Borges, Billy Pinheiro, Weverton Cordeiro:
A Blockchain-based Approach for Continuous Auditing in IT Change Management. NOMS 2024: 1-4 - Mrityunjoy Gain, Avi Deb Raha, Apurba Adhikary, Kitae Kim, Choong Seon Hong:
Open RAN Embracing Continual Learning: Towards NextG Adaptive Traffic Analysis. NOMS 2024: 1-7 - Jaime Galán-Jiménez, Mohamed Faten Zhani
, Luis Jesús Martín León, John Kaippallimalil:
Transport Assistants to Enhance TCP Performance: Analysis of the Packet Delivery Delay. NOMS 2024: 1-5 - Timo Geier:
Improving Multi-Tenant I/O-Acceleration for Containerized Network Function Environments. NOMS 2024: 1-4 - Timo Geier, Sebastian Rieger:
Orchestrating Multi-Tenant Code Updates Across Multiple Programmable Switches. NOMS 2024: 1-3 - Kouichi Genda:
On-demand network bandwidth reservation method exploiting machine learning intuitive judgment. NOMS 2024: 1-5 - Simon G. E. Gökstorp, Jakob Nyberg, Yeongwoo Kim, Pontus Johnson, György Dán:
Anomaly Detection in Security Logs using Sequence Modeling. NOMS 2024: 1-9 - Patrik Goldschmidt, Jan Kucera:
Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning. NOMS 2024: 1-10 - José Gómez-delaHiz, Jaime Galán-Jiménez:
Improving the Traffic Engineering of SDN networks by using Local Multi-Agent Deep Reinforcement Learning. NOMS 2024: 1-5 - Venkateswarlu Gudepu, Rajashekhar Reddy Tella, Carlo Centofanti, José Santos, Andrea Marotta, Koteswararao Kondepu:
Demonstrating the Energy Consumption of Radio Access Networks in Container Clouds. NOMS 2024: 1-3 - Song Guo, Minzhao Lyu, Hassan Habibi Gharakheili:
Realizing Open and Decentralized Marketplace for Exchanging Data of Expected IoT Behaviors. NOMS 2024: 1-5 - Mengjie Guo, Guochu Shou, Yaqiong Liu, Yihong Hu:
Adaptive Configuration with Deep Reinforcement Learning in Software-Defined Time-Sensitive Networking. NOMS 2024: 1-7 - Mengjie Guo, Guochu Shou, Yaqiong Liu, Yihong Hu:
Reconfiguration with Virtual Gate Control List for Deterministic Transmission in Time-Sensitive Networks. NOMS 2024: 1-6 - Klement Hagenhoff, Gabi Dreo Rodosek:
Eliminating Bottlenecks in MANETs. NOMS 2024: 1-5 - Monishanker Halder, Apurba Adhikary, Seong-Bae Park, Choong Seon Hong:
An Artificial Intelligence Framework for Dynamic Selection and Resource Allocation for EVs in Vehicular Networks. NOMS 2024: 1-9 - Ashot N. Harutyunyan, Arnak V. Poghosyan, Tigran Bunarjyan, Naira Grigoryan, Artur Grigoryan, Vahan Tadevosyan, Nelson Baloian:
Discovery of Cloud Incidents through Streaming Consolidation of Events across Timeline and Topology Hierarchy. NOMS 2024: 1-7 - Shuntaro Hashimoto, Makoto Misumi, Noriaki Kamiyama:
Analysis of Diffusion Process of ICN Based on Economic Factors. NOMS 2024: 1-5 - Csaba Hegedüs, Pál Varga:
Co-pilots for Arrowhead-based Cyber-Physical System of Systems Engineering. NOMS 2024: 1-6 - Pascal Hennen, Poornima Mani, Anja Feldmann:
Peaking Beyond the Best Route: An Extensive Dataset for Looking Glasses. NOMS 2024: 1-7 - Lyn Hill, Charalampos Rotsos, Christopher Edwards, David Hutchison:
Katoptron: Efficient State Mirroring for Middlebox Resilience. NOMS 2024: 1-9 - Gergely Hollósi, Dániel Ficzere, Attila Frankó, Máté Bancsics, Ruba Almahasneh, Csaba Lukovszki, Pál Varga:
AIMS5.0 AI Toolbox: Enabling Efficient Knowledge Sharing for Industrial AI. NOMS 2024: 1-6 - Radek Hranický, Adam Horák, Jan Polisenský, Kamil Jerábek, Ondrej Rysavý:
Unmasking the Phishermen: Phishing Domain Detection with Machine Learning and Multi-Source Intelligence. NOMS 2024: 1-5 - Chi-Sheng Hsu, Yi-Cheng Chu, Ya-Ping Huang, Lung-Chin Huang, Che-Chun Teng, Chin-Ping Chuang:
A ML-Based Model for Evaluating the Power Consumption of Network Devices. NOMS 2024: 1-5
