| 2023 | 19th International Conference on Network and Service Management, CNSM 2023, Niagara Falls, ON, Canada, October 30 - Nov. 2, 2023 |
| 2023 | 5G E2E Network Slicing Predictable Traffic Generator. Brigitte Jaumard, Junior Momo Ziazet |
| 2023 | A Critical Study of Few-Shot Learning for Encrypted Traffic Classification. Elham Akbari, Sheikh A. Tahmid, Navid Malekghaini, Mohammad Ali Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphane Tuffin |
| 2023 | A Fair Approach to the Online Placement of the Network Services Over the Edge. Masoud Taghavian, Yassine Hadjadj-Aoul, Géraldine Texier, Nicolas Huin, Philippe Bertin |
| 2023 | A Lightweight Heuristic for Micro-Services Placement and Chaining in Low Latency Services. Hichem Magnouche, Guillaume Doyen, Caroline Prodhon |
| 2023 | A Marketplace Solution for Distributed Network Management and Orchestration of Slices. Engin Zeydan, Luis Blanco, Sergio Barrachina-Muñoz, Farhad Rezazadeh, Luca Vettori, Josep Mangues |
| 2023 | A Token-Prioritization Strategy for Handling Data Imbalance in Network-Change Ticket Classification. Md. Shamim Towhid, Nasik Sami Khan, Nashid Shahriar, Massimo Tornatore, Raouf Boutaba, Aladdin Saleh |
| 2023 | AI Toolbox Concept for the Arrowhead Framework. Dániel Ficzere, Gergely Hollósi, Attila Frankó, Pál Varga |
| 2023 | ASSL as an Intent Expression Language for Autonomic Intent-Driven Networking. Solmaz Jaberi, J. William Atwood, Joey Paquet |
| 2023 | AdFAT: Adversarial Flow Arrival Time Generation for Demand-Oblivious Data Center Networks. Sebastian Schmidt, Johannes Zerwas, Wolfgang Kellerer |
| 2023 | Adaptive Entanglement Routing for Quantum Networks with Cutoff. Jiaheng Xiong, Qiaolun Zhang, Alberto Gatto, Francesco Musumeci, Raouf Boutaba, Massimo Tornatore |
| 2023 | Adaptive Model Aggregation for Decentralized Federated Learning in Vehicular Networks. Mahtab Movahedian, Mahdi Dolati, Majid Ghaderi |
| 2023 | An ETSI-Compliant Architecture for the Element Management System: The Key for Holistic NFV Management. Vinicius Fulber-Garcia, José Wilson Vieira Flauzino, Carlos Raniery Paula dos Santos, Elias P. Duarte |
| 2023 | An Empirical Approach to Evaluate the Resilience of QUIC Protocol Against Handshake Flood Attacks. Benjamin Teyssier, Y A Joarder, Carol J. Fung |
| 2023 | An Explainable-by-Design Ensemble Learning System to Detect Unknown Network Attacks. Céline Minh, Kevin Vermeulen, Cédric Lefebvre, Philippe Owezarski, William Ritchie |
| 2023 | Analyzing Network (Non-)Neutrality for Monopolistic, Competing, or Vertically Integrated Content Providers with a Unified Model. Vedant Joseph Kumar, Patrick Maillé, Bruno Tuffin |
| 2023 | Analyzing the Quality of Synthetic Adversarial Cyberattacks. Ulya Sabeel, Shahram Shah-Heydari, Khalil El-Khatib, Khalid Elgazzar |
| 2023 | BGP Control Plane Overhead in Fat-Trees: An Analytical Approach. Leonardo Alberro, Eduardo Grampín |
| 2023 | BGPEval: Automating Large-Scale Testbed Creation. Nils Rodday, Gabi Dreo Rodosek |
| 2023 | Blockchain-Based Self-Sovereign Identity for Federated Learning in Vehicular Networks. Engin Zeydan, Luis Blanco, Josep Mangues, Suayb S. Arslan, Yekta Turk |
| 2023 | Bridging Resource Prediction and System Management: A Case Study in Cloud Systems. Justin Kur, Ji Xue, Jingshu Chen, Jun Huang |
| 2023 | CML-IDS: Enhancing Intrusion Detection in SDN Through Collaborative Machine Learning. Pegah Golchin, Chengbo Zhou, Pratyush Agnihotri, Mehrdad Hajizadeh, Ralf Kundel, Ralf Steinmetz |
| 2023 | Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach. Lorenzo Manca, Davide Borsatti, Filippo Poltronieri, Mattia Zaccarini, Domenico Scotece, Gianluca Davoli, Luca Foschini, Genady Ya. Grabarnik, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi, Walter Cerroni |
| 2023 | Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting. Yichong Chen, Manuel Roveri, Shreshth Tuli, Giuliano Casale |
| 2023 | CrossBal: Data and Control Plane Cooperation for Efficient and Scalable Network Load Balancing. Bruno Loureiro Coelho, Alberto E. Schaeffer-Filho |
| 2023 | DDoS Attacks Mitigation in 5G-V2X Networks: A Reinforcement Learning-Based Approach. Badre Bousalem, Mohamed Anis Sakka, Vinicius F. Silva, Wael Jaafar, Asma Ben Letaifa, Rami Langar |
| 2023 | DEFT: Distributed, Elastic, and Fault-Tolerant State Management of Network Functions. Md Mahir Shahriyar, Gourab Saha, Bishwajit Bhattacharjee, Rezwana Reaz |
| 2023 | DTL-IDS: Deep Transfer Learning-Based Intrusion Detection System in 5G Networks. Behnam Farzaneh, Nashid Shahriar, Abu Hena Al Muktadir, Md. Shamim Towhid |
| 2023 | Data Fabrics for Multi-Domain Information Systems. Pooyan Habibi, Morteza Moghaddassian, Shayan Shafaghi, Alberto Leon-Garcia |
| 2023 | Deciphering DDoS Attacks Through a Global Lens. Jonas Brunner, Bruno Rodrigues, Katharina O. E. Müller, Salil S. Kanhere, Burkhard Stiller |
| 2023 | Deep Learning in NLP for Anomalous HTTP Requests Detection. Manh-Tien-Anh Nguyen, Van Tong, Sondes Bannour Souihi, Sami Souihi |
| 2023 | Deep Reinforcement Learning Based Command Control System for Automating Fault Diagnosis. Hiroshi Yamauchi, Tatsuaki Kimura |
| 2023 | Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4. Yixing Wang, Yang Xiao, Yuqian Song, Jingli Zhou, Jun Liu |
| 2023 | Deep Reinforcement Learning for Network Service Recovery in Large-Scale Failures. Kazuaki Akashi, Nobukazu Fukuda, Shunsuke Kanai, Kenichi Tayama |
| 2023 | Deploying Disaster-Resilient Service Function Chains Using Adaptive Multi-Path Routing. Mohamed Abderrahmane Madani, Fen Zhou, Ahmed Meddahi |
| 2023 | Disaggregating a 5G Non-Public Network via On-Demand Cloud-Native UPF Deployments. Jorge Baranda, Sergio Barrachina-Muñoz, Rasoul Nikbakht, Miquel Payaró, Josep Mangues-Bafalluy |
| 2023 | Dom2Vec - Detecting DGA Domains Through Word Embeddings and AI/ML-Driven Lexicographic Analysis. Lucas Torrealba Aravena, Pedro Casas, Javier Bustos-Jiménez, Germán Capdehourat, Mislav Findrik |
| 2023 | Empirical Analysis of the Fine-Tuning for Unsupervised Anomaly Detection in the ICT System. Yoichi Matsuo |
| 2023 | Energy Efficient VNF-FG Embedding via Attention-Based Deep Reinforcement Learning. Omar Houidi, Oussama Soualah, Ines Houidi, Djamal Zeghlache |
| 2023 | Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior. Josef Koumar, Richard Plný, Tomás Cejka |
| 2023 | Enterprise Application Outage Prediction Using XGBoost and LSTM. Ali Hassan, Shahram Shah-Heydari |
| 2023 | Federated Scheduling of Fog-Native Applications Over Multi-Domain Edge-to-Cloud Ecosystem. Mays F. Al-Naday, Vasileios Karagiannis, Tom De Block, Bruno Volckaert |
| 2023 | Improved Video QoE in Wireless Networks Using Deep Reinforcement Learning. Henrique D. Moura, Júnia Maísa Oliveira, Daniel Soares, Daniel F. Macedo, Marcos A. M. Vieira |
| 2023 | Improving System Configurations Using Domain Knowledge Assisted Semi-Supervised Learning. Negar Mohammadi-Koushki, Sanjeev Sondur, Krishna Kant |
| 2023 | Joint Routing and GCL Scheduling Algorithm Based on Tabu Search in TSN. Ying Wang, Yufan Cheng, Zhihan Zhuang, Junye Zhang, Peng Yu, Shaoyong Guo, Xuesong Qiu |
| 2023 | LLM-Based Policy Generation for Intent-Based Management of Applications. Kristina Dzeparoska, Jieyu Lin, Ali Tizghadam, Alberto Leon-Garcia |
| 2023 | Learning-Based Formation Control of UAV-Fleet. Abdulhakeem Abdulazeez, Nicola Roberto Zema, Tara Ali-Yahiya, Steven Martin |
| 2023 | Leveraging Spatiotemporal Relations for Predicting Potential Link Failures. Bruck Wubete, Babak Esfandiari, Thomas Kunz |
| 2023 | Log Analysis and Prediction for Anomaly Detection in Network Switches. Sukhyun Nam, Euidong Jeong, Jibum Hong, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2023 | Look at my Network: An Insight into the ISP Backbone Traffic. Tomás Benes, Jaroslav Pesek, Tomás Cejka |
| 2023 | Low Impact Tenant Code Updates on Multi-Tenant Programmable Switches. Timo Geier, Sebastian Rieger |
| 2023 | MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection. Rafael Copstein, Brad Niblett, Andrew Johnston, Jeff Schwartzentruber, Malcolm I. Heywood, Nur Zincir-Heywood |
| 2023 | ML-Based Translation Methods for Protocols and Data Formats. Tamas Tothfalusi, Eszter Varga, Zoltan Csiszar, Pál Varga |
| 2023 | Mitigating Signaling Storms in 5G with Blockchain-assisted 5GAKA. Bohan Zhang, Paul Zeinaty, Noura Limam, Raouf Boutaba |
| 2023 | Network Traffic Classification Based on Single Flow Time Series Analysis. Josef Koumar, Karel Hynek, Tomás Cejka |
| 2023 | On Integrated Wired and Wireless Time-Sensitive Networking using SDN. Mehdi Nobakht, Frank T. H. den Hartog |
| 2023 | On Large-Scale IP Service Disruptions Dependencies. Alfred Arouna, Ioana Livadariu, Azan Latif Khanyari, Ahmed Elmokashfi |
| 2023 | Online Utilization Maximization in Resource Allocation with Minimum Service Guarantees. Dor Harris, David Naori, Danny Raz |
| 2023 | Optimal Functional Splitting, Placement and Routing for Isolation-Aware Network Slicing in NG-RAN. Maria Mushtaq, Morteza Golkarifard, Nashid Shahriar, Raouf Boutaba, Aladdin Saleh |
| 2023 | Path Oracle: Improving Performance of Path-Aware Applications in SCION. Thorben Krüger, Clemens Beck, David Hausheer |
| 2023 | Path Plausibility Algorithms in GoBGP. Nils Höger, Nils Rodday, Oliver Borchert, Gabi Dreo Rodosek |
| 2023 | Performance Impact of Queue Sorting in Container-Based Application Scheduling. José Santos, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck |
| 2023 | Predicting the Performance of DNNs to Support Efficient Resource Allocation. Sarah Shah, Yasaman Amannejad, Diwakar Krishnamurthy |
| 2023 | Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices. Alexander Loginov, Jeffrey Adjei, Nur Zincir-Heywood, Srinivas Sampalli, Kevin de Snayer, Terri Dougall |
| 2023 | Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning. Julian Jimenez, Paola Soto, Danny De Vleeschauwer, Chia-Yu Chang, Yorick De Bock, Steven Latré, Miguel Camelo |
| 2023 | SDN Lullaby: VM Consolidation for SDN using Transformer-Based Deep Reinforcement Learning. Eui-Dong Jeong, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2023 | Scalable and Efficient Link Layer Topology Discovery for Autonomic Networks. Paul Seehofer, Roland Bless, Hendrik Mahrt, Martina Zitterbart |
| 2023 | Settling Issues in IEEE 802.1AS Networks in PI Based Clock Servos. Attila Frankó, Gergely Hollósi |
| 2023 | Subscription Management for Beyond 5G and 6G Cellular Networks Using Blockchain Technology. Nischal Aryal, Fariba Ghaffari, Emmanuel Bertin, Noël Crespi |
| 2023 | Synthesizing and Scaling WAN Topologies Using Permutation-Invariant Graph Generative Models. Max Helm, Georg Carle |
| 2023 | Tailoring MLOps Techniques for Industry 5.0 Needs. Csaba Hegedüs, Pál Varga |
| 2023 | TinyG: Accurate IP Geolocation Using a Tiny Number of Probers. Nan Jiang, Jessie Hui Wang, Jilong Wang, Peiran Wang |
| 2023 | Vendor Agnostic Network Service Orchestration with Stacked NSO Services. Marc Koerner |
| 2023 | Workload Placement with Bounded Slowdown in Disaggregated Datacenters. Amirhossein Sefati, Mahdi Dolati, Majid Ghaderi |
| 2023 | dot2net: A Labeled Graph Approach for Template-Based Configuration of Emulation Networks. Satoru Kobayashi, Ryusei Shiiba, Ryosuke Miura, Shinsuke Miwa, Toshiyuki Miyachi, Kensuke Fukuda |
| 2023 | pUpdate: Priority-Based Scheduling for Continuous and Consistent Network Updates in SDN. Mehdi Nobakht, Arshiya Rezaie Hezaveh |