| 2023 | 5G Network Slice Type Classification using Traditional and Incremental Learning. Mohamad Ahmadinejad, Tahmina Azmin, Nashid Shahriar |
| 2023 | 5G on the roads: optimizing the latency of federated analysis in vehicular edge networks. László Toka, Márk Konrád, István Pelle, Balázs Sonkoly, Marcell Szabó, Bhavishya Sharma, Shashwat Kumar, Madhuri Annavazzala, Sree Teja Deekshitula, A. Antony Franklin |
| 2023 | 5GC-Observer Demonstrator: a Non-intrusive Observability Prototype for Cloud Native 5G System. Abderaouf Khichane, Ilhem Fajjari, Nadjib Aitsaadi, Mourad Guéroui |
| 2023 | 5GC-Observer: a Non-intrusive Observability Framework for Cloud Native 5G System. Abderaouf Khichane, Ilhem Fajjari, Nadjib Aitsaadi, Mourad Guéroui |
| 2023 | A Close Look at Shared Resource Consumption in NoSQL Databases for Accurate Accounting. Jaeryun Lee, Byungchul Tak, Euiseong Seo |
| 2023 | A Cloud-Native Federated Learning Architecture for Telecom Fraud Detection. Subhash Talluri, Qiong Zhang, Rongyi Chen |
| 2023 | A Comprehensive Framework for Intent-Based Networking, Standards-Based and Open-Source. Henry Yu, Hesam Rahimi, Christopher Janz, Dong Wang, Chungang Yang, Yehua Zhao |
| 2023 | A Comprehensive P4-based Monitoring Framework for L4S leveraging In-band Network Telemetry. Huu Nghia Nguyen, Bertrand Mathieu, Marius Letourneau, Guillaume Doyen, Stéphane Tuffin, Edgardo Montes de Oca |
| 2023 | A Comprehensive Performance Analysis of Stream Processing with Kafka in Cloud Native Deployments for IoT Use-cases. István Pelle, Bence Szoke, Abdulhalim Fayad, Tibor Cinkler, László Toka |
| 2023 | A Crash Response System using LoRa-based V2X Communications. Bruno Carneiro da Cunha, Daniel Macêdo Batista, Roberto Hirata Junior, Kifayat Ullah |
| 2023 | A Deep Learning Approach for Root Cause Analysis in Real-Time IIoT Edge Networks. Ahsan Saleem, Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini |
| 2023 | A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers. Shiva Ketabi, Hongkai Chen, Haiwei Dong, Yashar Ganjali |
| 2023 | A Digital Twin based Framework to Enable "What-If" Analysis in BGP Optimization. Marco Polverini, Ilaria Germini, Antonio Cianfrani, Francesco Giacinto Lavacca, Marco Listanti |
| 2023 | A Distributed Zero Trust Framework for 6G RAN. Hichem Sedjelmaci, Kamel Tourki |
| 2023 | A Multi-Tenancy System Architecture for Online Examinations. Jonas Andre, Johannes Naab, Benedikt Jaeger, Georg Carle, Leander Seidlitz, Stephan M. Günther |
| 2023 | A Multilayer Perceptron Model for Station Grouping in IEEE 802.11ah Networks. Guan-Sheng Wang, Chih-Yu Lin, Yu-Chee Tseng, Lan-Da Van |
| 2023 | A Novel Poisoning Attack on Few-Shot based Network Intrusion Detection. Nour Alhussien, Ahmed Aleroud |
| 2023 | A Reinforcement-Learning Self-Healing Approach for Virtual Network Function Placement. Marios Avgeris, Aris Leivadeas, Ioannis Lambadaris |
| 2023 | A Reliable and Decentralized Trust Management Model for Fog Computing in Industrial IoT. Xinran Zheng, Shuo Yang, Xingjun Wang |
| 2023 | A Resource Allocation Strategy in Earth Observation Orbital Edge Computing-enabled Satellite Networks to minimize Ground Station Energy Consumption. Francesco Valente, Francesco Giacinto Lavacca, Vincenzo Eramo |
| 2023 | A Robust Approach for the Detection and Prevention of Conflicts in I2NSF Security Policies. Do Duc Anh Nguyen, Fabien Autrel, Ahmed Bouabdallah, Guillaume Doyen |
| 2023 | A Scalable Asynchronous Traffic Shaping Mechanism for TSN with Time Slot and Polling. Haorui Guo, Weichao Li, Jiashuo Lin, Jianer Zhou, Qinglin Xun, Shuangping Zhan, Yong Huang, Yi Wang, Qingsha Cheng |
| 2023 | A Scalable Cyber Security Framework for the Experimentation of DDoS Attacks of Things. Davi D. Gemmer, Bruno Henrique Meyer, Emerson Ribeiro de Mello, Marcos F. Schwarz, Michelle S. Wangham, Michele Nogueira |
| 2023 | A Smart Manufacturing Ecosystem for Industry 5.0 using Cloud-based Collaborative Learning at the Edge. Salman Javed, Saleha Javed, Jan van Deventer, Hamam Mokayed, Jerker Delsing |
| 2023 | A Stacking Learning-Based QoE Model for Cloud Gaming. Daniel Soares, Marcos Carvalho, Daniel F. Macedo |
| 2023 | A Study on the Conspiracy Theory Propagation Network on Twitter. Kshitij Kokkera, Aileen Chen, Chythra Malapati, Alex Demchenko, Carol J. Fung |
| 2023 | A-RCL: An Adaptive Incident Prediction and Automated Root Cause Localization System for Cloud Environment. Phuong Bac Ta, Ha-Duong Phung, Younghan Kim |
| 2023 | ACTOR: Alarm Correlation and Ticketing for Open ROADM. Tianliang Zhang, Wendell Liu, Balagangadhar G. Bathula, Andrea Fumagalli |
| 2023 | AMAC: Attention-based Multi-Agent Cooperation for Smart Load Balancing. Omar Houidi, Sihem Bakri, Djamal Zeghlache, Julien Lesca, Pham Tran Anh Quang, Jérémie Leguay, Paolo Medagliani |
| 2023 | Accelerating PUF-based Authentication Protocols Using Programmable Switch. Divya Pathak, Ranjitha K., Krishna Sai Modali, Praveen Tammana, A. Antony Franklin, Tejasvi Alladi |
| 2023 | Accurate Bulk Throughput Benchmarks Using Reduced Network Resources. Derek Phanekham, Kylie Jordan, Oliver Zhu, Suku Nair |
| 2023 | Achieving Observability at Scale through Federated Learning. Alexander Keller, Jonathan Whitson |
| 2023 | Admission Control for URLLC Traffic with Computation Requirements in 5G and Beyond. Fidan Mehmeti, Valentin Thomas Haider, Wolfgang Kellerer |
| 2023 | Advancing Network Monitoring and Operation with In-band Network Telemetry and Data Plane Programmability. Jonatas Adilson Marques, Luciano Paschoal Gaspary |
| 2023 | An Adaptive Moving Target Defense Approach for Software-Defined Networking Protection. Felipe Sampaio Dantas da Silva, Túlio Pascoal, Emidio P. Neto, Rodrigo S. S. Nunes, Cristian H. Martins de Souza, Augusto Neto |
| 2023 | An Experimental Testbed for 5G Network Security Assessment. Karim Baccar, Abdelkader Lahmadi |
| 2023 | An Intelligent Data-Plane with a Quantized ML Model for Traffic Management. Kaiyi Zhang, Nancy Samaan, Ahmed Karmouch |
| 2023 | An Intent-Based Networking mechanism: A study case for efficient path selection using Graph Neural Networks. Javier Jose Diaz Rivera, Mir Muhammad Suleman Sarwar, Sajid Alam, Talha Ahmed Khan, Muhammad Afaq, Wang-Cheol Song |
| 2023 | An Intermediary Protocol Representation to Aid in Avionics Network Development. Alexander Frank, Wolfgang Hommel, Benedikt Hopfner |
| 2023 | An SDN-NFV-enabled Honeypot for Manipulating Command & Control Shell TCP Connection. Siyuan Wu, Wenjun Fan |
| 2023 | An adaptive and efficient approach to detect microbursts leveraging per-packet telemetry in a production network. Jeronimo Bezerra, Italo Brito, Renata Frez, Julio Ibarra |
| 2023 | Analysis and emulation of BGP hijacking events. Pietro Spadaccino, Sara Bruzzese, Francesca Cuomo, Flavio Luciani |
| 2023 | Analyzing Traffic Characteristics of Instant Messaging Applications on Android Smartphones. Zolboo Erdenebaatar, Riyad Alshammari, Nur Zincir-Heywood, Marwa Elsayed, Biswajit Nandy, Nabil Seddigh |
| 2023 | Analyzing self-similarities in network traffic, water levels, and currency exchange rates. Pal Patrik Varga, Pál Varga, Dániel Ficzere |
| 2023 | Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO. Apurba Adhikary, Md. Shirajum Munir, Avi Deb Raha, Yu Qiao, Choong Seon Hong |
| 2023 | Auto-tuning of Hyper-parameters for Detecting Network Intrusions via Meta-learning. Omar Anser, Jérôme François, Isabelle Chrisment |
| 2023 | Automated Feature Selection with Local Gradient Trajectory in Split Learning. Selim Ickin |
| 2023 | Autoscaling Packet Core Network Functions with Deep Reinforcement Learning. Jatinder Singh, Shantanu Verma, Yoichi Matsuo, Francesca Fossati, Guillaume Fraysse |
| 2023 | Bandwidth Provisioning for Network Slices with Per User QoS Guarantees. Panagiotis I. Nikolaidis, Asim Zoulkarni, John S. Baras |
| 2023 | Bio-inspired Solution for Cluster-Tree Based Data Collection Protocol in Wireless Sensors Networks. Gérard Kponhinto, Ousmane Thiare, Ado Adamou Abba Ari, Abdelhak Mourad Guéroui, Sondès Khemiri-Kallel, Junseok Hwang |
| 2023 | BitTorrent over SCION: Leveraging Unused Network Capacities in the Internet. Marten Gartner, Thorben Krüger, David Hausheer |
| 2023 | C3-Edge - An Automated Mininet-Compatible SDN Testbed on Raspberry Pis and Nvidia Jetsons. Josef Hammer, Dragi Kimovski, Narges Mehran, Radu Prodan, Hermann Hellwagner |
| 2023 | CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity. Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Avi Deb Raha, Choong Seon Hong |
| 2023 | Characteristic Analysis of Socially-Aware Information-Centric Networking. Kodai Honda, Ryo Nakamura, Noriaki Kamiyama |
| 2023 | Cold Start for Cloud Anomaly Detection. Yonatan Katz, Danny Raz |
| 2023 | Combining Autonomic and Intent-Based Networking. Alexander Clemm, Toerless Eckert |
| 2023 | Combining NOMA-OMA with a Multiagent Architeture for Enhanced Spectrum Sharing in 6G. Gustavo C. Eichler, Célia G. Ralha, Arman Farhang, Marcelo Antonio Marotta |
| 2023 | Communication-Efficient and Scalable Management of Self-Organizing Mobile Networks. Tanmoy Bag, Sharva Garg, Sriram Parameswaran, Diego Fernando Preciado Rojas, Andreas Mitschele-Thiel |
| 2023 | Community Selection for Multivariate KPI Predictions in a 2-Tier System. Yue Jin, Makram Bouzid, Armen Aghasaryan, Ricardo Rocha |
| 2023 | Comparative Analysis of 2D Object Detection Algorithms and real-time implementation using RTMAPS. Moad Dehbi, Yassin El Hillali, Atika Rivenq, Marwane Ayaida |
| 2023 | Componentized Task Scheduling in Cloud-Edge Cooperative Scenarios Based on GNN-enhanced DRL. Jingchun Li, Fanqin Zhou, Wenjing Li, Mingyu Zhao, Xueqiang Yan, Yan Xi, Jianjun Wu |
| 2023 | Cost-optimal Operation of Latency Constrained Serverless Applications: From Theory to Practice. János Czentye, István Pelle, Balázs Sonkoly |
| 2023 | CyberTEA: a Technical and Economic Approach for Cybersecurity Planning and Investment. Muriel Figueredo Franco, Lisandro Zambenedetti Granville, Burkhard Stiller |
| 2023 | DDoS Detection in P4 Using HYPERLOGLOG and COUNTMIN Sketches. Vera Clemens, Lars-Christian Schulz, Marten Gartner, David Hausheer |
| 2023 | DRL and Main-Side Blockchain Empowered Edge Computing Framework for Assistant Driving. Yuxuan Zhong, Siya Xu, Zihan Li, Peng Yu, Ying Wang, Fanqin Zhou |
| 2023 | Data Protection based on Searchable Encryption and Anonymization Techniques. Matheus Monteiro Silveira, Ariel L. C. Portela, Rafael A. Menezes, Michael S. Souza, Danielle S. Silva, Maria C. Mesquita, Rafael L. Gomes |
| 2023 | Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution. Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani, Farooq Shaikh, Elias Bou-Harb, Morteza Safaei Pour, Jorge Crichigno |
| 2023 | Deep Reinforcement Learning based Spectral Efficiency Maximization in STAR-RIS-Assisted Indoor Outdoor Communication. Pyae Sone Aung, Loc X. Nguyen, Yan Kyaw Tun, Zhu Han, Choong Seon Hong |
| 2023 | Delay-bounded Topology Construction and Routing Integration for Time-critical Services. Xiaofu Huang, Guochu Shou, Yaqiong Liu, Zehua Gao, Yihong Hu |
| 2023 | Demo: Closed-Loop Security Orchestration in the Telco Cloud for Moving Target Defense. Wissem Soussi, Maria Christopoulou, George Xilouris, Edgardo Montes de Oca, Vincent Lefebvre, Gürkan Gür, Burkhard Stiller |
| 2023 | Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh. Forough Shahab Samani, Kim Hammar, Rolf Stadler |
| 2023 | Detection of IoT Devices and Network Anomalies based on Anonymized Network Traffic. Ariel L. C. Portela, Rafael A. Menezes, Wanderson L. Costa, Matheus Monteiro Silveira, Luiz Fernando Bittencourt, Rafael Lopes Gomes |
| 2023 | Digital Map Generation Workflow Demonstrated on ZalaZONE Automotive Proving Ground Elements. Árpád Somogyi, Tamás Tettamanti, Pál Varga, Zsolt Szalay, Dániel Baranyai, Tamas Lovas |
| 2023 | Digital Twins for Security Automation. Kim Hammar, Rolf Stadler |
| 2023 | Digital Twins in Industry 5.0: Challenges in Modeling and Communication. Marcell Balogh, András Földvári, Pál Varga |
| 2023 | Distributed Device-Specific Anomaly Detection for Resource-Constrained Devices. Christian Lübben, Marc-Oliver Pahl |
| 2023 | Distributed Device-Specific Anomaly Detection using Deep Feed-Forward Neural Networks. Christian Lübben, Marc-Oliver Pahl |
| 2023 | Domain Adaptation for Network Performance Modeling with and without Labeled Data. Hannes Larsson, Farnaz Moradi, Jalil Taghia, Xiaoyu Lan, Andreas Johnsson |
| 2023 | Dynamic and Multiprovider-based Resource Infrastructure in the NFV MANO Framework. Slawomir Kuklinski, Jordi Mongay Batalla, Janusz Pieczerak |
| 2023 | EFFECTOR: DASH QoE and QoS Evaluation Framework For EnCrypTed videO tRaffic. Raza Ul-Mustafa, Md. Tariqul Islam, Christian Esteve Rothenberg, Pedro Henrique Gomes |
| 2023 | EFPCaching: Energy-aware and Fault-tolerant Probabilistic Caching of popular IoT content in ICN. Nikolaos Baltagiannis, Ioanna Angeliki Kapetanidou, Vassilis Tsaoussidis |
| 2023 | ELoRa: End-to-end Emulation of Massive IoT LoRaWAN Infrastructures. Alessandro Aimi, Stéphane Rovedakis, Fabrice Guillemin, Stefano Secci |
| 2023 | Early Detection of Cryptojacker Malicious Behaviors on IoT Crowdsensing Devices. Alberto Huertas Celdrán, Jan von der Assen, Konstantin Moser, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller |
| 2023 | Early Detection of Intrusion in SDN. Md. Shamim Towhid, Nashid Shahriar |
| 2023 | Efficient Deep-Learning Models for Future Blockage and Beam Prediction for mmWave Systems. Satya Kumar Vankayala, Sai Krishna Santosh Gollapudi, Bharat Jain, Seungil Yoon, K. Mihir, Swaraj Kumar, H. U. Sudheer Kumar, Issaac Kommineni |
| 2023 | Efficient Identification of Cloud Gaming Traffic at the Edge. Philippe Graff, Xavier Marchal, Thibault Cholez, Bertrand Mathieu, Olivier Festor |
| 2023 | Efficient Management in Fog Computing. José Santos, Tim Wauters, Filip De Turck |
| 2023 | Efficient Periodicity Analysis for Real-Time Anomaly Detection. Yusufu Shehu, Robert Harper |
| 2023 | Emergency and Infotainment Services through Mobility-based Dynamic and Predictive 5G Network Slicing. Gonçalo Perna, Pedro Rito, Carlos Marques, Miguel Luís, Filipe Cabral Pinto, Susana Sargento |
| 2023 | Empirical Performance Evaluation of Open Source SDN Controllers in different Network Topologies. Hafiz Mati-ur-Rahman, Ghulam Bahoo, Lamees Zafar, Ibrahim Al-Oqily, Hasan Ali Khattak, Arsalan Ahmad |
| 2023 | Enabling Auditable Trust in Autonomous Networks with Ethereum and IPFS. Jaime Fúster De La Fuente, Álvaro Pendás Recondo, Leon Wong, Paul Harvey |
| 2023 | Enabling Scalable Smart Vertical Farming with IoT and Machine Learning Technologies. Csaba Hegedüs, Attila Frankó, Pál Varga, Stefan Gindl, Markus Tauber |
| 2023 | Enabling Self-Driving Networks with Machine Learning. Arthur Selle Jacobs, Ronaldo Alves Ferreira, Lisandro Zambenedetti Granville |
| 2023 | Energy Efficient Leaderless Softwarized UAV Network: Joint Intelligent User Association and Resource Allocation Design. Luyao Zou, Sheikh Salman Hassan, Yan Kyaw Tun, Zhu Han, Choong Seon Hong |
| 2023 | Enhancing Security in Information-Centric Ad Hoc Networks. Ioanna Angeliki Kapetanidou, Paulo Mendes, Vassilis Tsaoussidis |
| 2023 | Estimating the Performance of VNE Algorithms with a Novel Loss Network Model. Qiao Lu, Changcheng Huang |
| 2023 | Evaluating and Improving Regional Network Robustness from an AS TOPO Perspective. Yujia Liu, Changqing An, Tao Yu, Zhiyan Zheng, Zidong Pei, Jilong Wang, Chalermpol Charnsripinyo |
| 2023 | Evaluating the performance of open source software implementations of the 5G network core. Gabriel Lando, Lucas Augusto Fonseca Schierholt, Mateus Paludo Milesi, Juliano Araújo Wickboldt |
| 2023 | Event-Flow Correlation for Anomaly Detection in HTTP/3 Web Traffic. Stanislav Spacek, Petr Velan, Martin Holkovic, Tomás Plesník |
| 2023 | FRL-Assisted Edge Service Offloading Mechanism for IoT Applications in FiWi HetNets. Shi Wang, Siya Xu, Jiaxin Wang, Peng Yu, Ying Wang, Fanqin Zhou |
| 2023 | FSA-IDS: A Flow-based Self-Active Intrusion Detection System. Mehrdad Hajizadeh, Sudip Barua, Pegah Golchin |
| 2023 | Federated Learning Aided Deep Convolutional Neural Network Solution for Smart Traffic Management. Guanxiong Liu, Nicholas Furth, Hang Shi, Abdallah Khreishah, Joyoung Lee, Nirwan Ansari, Chengjun Liu, Yaser Jararweh |
| 2023 | Federated Learning Framework to Decentralize Mobility Forecasting in Smart Cities. Renato Valente, Carlos R. Senna, Pedro Rito, Susana Sargento |
| 2023 | Federated Power Control for Predictive QoS in 5G and Beyond: A Proof of Concept for URLLC. Saad Abouzahir, Essaid Sabir, Halima Elbiaze, Mohamed Sadik |
| 2023 | Federated learning for vehicular coordination use cases. László Toka, Márk Konrád, István Pelle, Balázs Sonkoly, Marcell Szabó, Bhavishya Sharma, Shashwat Kumar, Madhuri Annavazzala, Sree Teja Deekshitula, A. Antony Franklin |
| 2023 | Generalizable GNN-based 5G RAN/MEC Slicing and Admission Control in Metropolitan Networks. Arash Moayyedi, Mahdieh Ahmadi, Mohammad Ali Salahuddin, Raouf Boutaba, Aladdin Saleh |
| 2023 | Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning. Muhammad Sulaiman, Mahdieh Ahmadi, Mohammad A. Salahuddin, Raouf Boutaba, Aladdin Saleh |
| 2023 | Generic Dijkstra: correctness and tractability. Ireneusz Szczesniak, Bozena Wozna-Szczesniak |
| 2023 | GitOps and Kubernetes Operator-based Network Function Configuration. Ákos Leiter, Attila Hegyi, István Kispál, Pál Böõsy, Nándor Galambosi, Gábor Zsolt Tar |
| 2023 | Graph-based Interpretable Anomaly Detection Framework for Network Slice Management in Beyond 5G Networks. Ashima Chawla, Anne-Marie Bosneag, Anestis Dalgkitsis |
| 2023 | HiFiPot: a High-Fidelity Emulation Framework for Internet of Things Honeypots. Pierre-Marie Junges, Jérôme François, Olivier Festor |
| 2023 | Impact of Network Resource Management On Quality of Industrial Processes. Géza Szabó, Zalán Trombitás, József Peto, Thorsten Lohmar, István Komlósi, Tamás Pepó, Attila Vidács, Mátyás Andó |
| 2023 | Improve Video Conferencing Quality with Deep Reinforcement Learning. Nguyen Van Tu, Kyungchan Ko, Sangwoo Ryu, Sangtae Ha, James Won-Ki Hong |
| 2023 | Independent Split Model Inference at Operator Network for Network Performance Estimation. Selim Ickin, Dinand Roeland, Göran Hall |
| 2023 | Industry 5.0 and Operations Management - the Importance of Human Factors. Fabian Lindner, Gerald Reiner |
| 2023 | Inspecting Traffic in Residential Networks with Opportunistically Outsourced Middleboxes. Shuwen Liu, Yu Liu, Craig A. Shue |
| 2023 | Instant Messaging Application Encrypted Traffic Generation System. Zolboo Erdenebaatar, Biswajit Nandy, Nabil Seddigh, Riyad Alshammari, Marwa Elsayed, Nur Zincir-Heywood |
| 2023 | Integrating state prediction into the Deep Reinforcement Learning for the Autoscaling of Core Network Functions. Yoichi Matsuo, Jatinder Singh, Shantanu Verma, Guillaume Fraysse |
| 2023 | Internet of Things Technology for Train Positioning and Integrity in the Railway Industry Domain. Rogelio Hernández, Gabriel Mujica, Jorge Portilla, Francisco Parrilla |
| 2023 | Intrusion and Anomaly Detection in Industrial Automation and Control Systems. Luís Rosa, Tiago Cruz, Paulo Simões, Edmundo Monteiro |
| 2023 | Investigating adversarial attacks against Random Forest-based network attack detection systems. Philippe Owezarski |
| 2023 | JARS: A Joint Allocation of Radio and System Resources for Virtualized Radio Access Networks. Keval Malde, Venkatarami Reddy Chintapalli, Bhavishya Sharma, Bheemarjuna Reddy Tamma, A. Antony Franklin |
| 2023 | KeLLy - Efficient, Scalable Link Layer Topology Discovery. Paul Seehofer, Roland Bless, Martina Zitterbart |
| 2023 | LALISA: Adaptive Bitrate Ladder Optimization in HTTP-based Adaptive Live Streaming. Farzad Tashtarian, Abdelhak Bentaleb, Hadi Amirpour, Babak Taraghi, Christian Timmerer, Hermann Hellwagner, Roger Zimmermann |
| 2023 | Live Stateful Migration of a Virtual Sub-Network. Farid Zandi, Sepehr Abbasi Zadeh, Soheil Abbasloo, Parsa Pazhooheshy, Yashar Ganjali, Zhenhua Hu |
| 2023 | Logistic Regression-based Solution to Predict the Transport Assistant Placement in SDN networks. Luis Jesús Martín León, Juan Luis Herrera, Javier Berrocal, Jaime Galán-Jiménez |
| 2023 | Low-Overhead Packet Loss Diagnosis for Virtual Private Clouds using P4-Programmable NICs. Soroush Aalibagi, Mahdi Dolati, Sogand SadrHaghighi, Majid Ghaderi |
| 2023 | MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks. Raffaele Galliera, Alessandro Morelli, Roberto Fronteddu, Niranjan Suri |
| 2023 | MPC-as-a-Service: A Customizable Management Protocol for Running Multi-party Computation on IoT Devices. Oscar G. Bautista, Kemal Akkaya |
| 2023 | Machine Learning Based Study of QoE Metrics in Twitch.tv Live Streaming. Frank Loh, Kathrin Hildebrand, Florian Wamser, Stefan Geißler, Tobias Hoßfeld |
| 2023 | Machine learning based detection of replay attacks in VANET. Aman Kumar, Muhammad Anwar Shahid, Arunita Jaekel, Ning Zhang, Marc Kneppers |
| 2023 | Measuring 5G-RAN Resilience Using Coverage and Quality of Service Indicators. Soumeya Kaada, Marie-Line Alberi-Morel, Gerardo Rubino, Sofiene Jelassi |
| 2023 | Mobility-aware Latency-constrained Data Placement in SDN-enabled Edge Networks. Diego O. Rodrigues, Torsten Braun, Guilherme Maia, Leandro Villas |
| 2023 | Model Predictive Control for Automated Network Assurance in Intent-Based Networking enabled Service Function Chains. Marios Avgeris, Aris Leivadeas, Nikolaos Athanasopoulos, Ioannis Lambadaris, Matthias Falkner |
| 2023 | MonArch: Network Slice Monitoring Architecture for Cloud Native 5G Deployments. Niloy Saha, Nashid Shahriar, Raouf Boutaba, Aladdin Saleh |
| 2023 | Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls. Katharina Dietz, Nicholas Gray, Manuel Wolz, Claas Lorenz, Tobias Hoßfeld, Michael Seufert |
| 2023 | Multi-Agent Advantage Actor-Critic Learning For Message Content Selection in Cooperative Perception Networks. Imed Ghnaya, Mohamed Mosbah, Hasnaâ Aniss, Toufik Ahmed |
| 2023 | Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning. Maxime Bouton, Jaeseong Jeong, José Outes, Adriano Mendo, Alexandros Nikou |
| 2023 | Multi-label Classification of Hosts Observed through a Darknet. Enzo d'Andréa, Jérôme François, Olivier Festor, Mehdi Zakroum |
| 2023 | Multi-stage Location for Root-Cause Metrics in Online Service Systems. Yunfeng Zhao, Wenchi Zhang, Zhiliang Wang, Shize Zhang, Kaixin Sui, Enhuan Dong, Jiahai Yang |
| 2023 | NES: Towards Lifecycle Automation for Emulation-Based Experimentation. Will Fantom, Eleanor Davies, Charalampos Rotsos, Paul Veitch, Stephen A. Cassidy, Nicholas J. P. Race |
| 2023 | NOMS 2023, IEEE/IFIP Network Operations and Management Symposium, Miami, FL, USA, May 8-12, 2023 |
| 2023 | Nesting Containers for Faithful Datacenters Emulations. Tommaso Caiazzi, Mariano Scazzariello, Samuele Quinzi, Lorenzo Ariemma, Maurizio Patrignani, Giuseppe Di Battista |
| 2023 | On enabling 5G Dynamic TDD by leveraging Deep Reinforcement Learning and O-RAN. Karim Boutiba, Miloud Bagaa, Adlen Ksentini |
| 2023 | On the Accuracy of Active Capacity Estimation in the Internet. Simon Bauer, Janluka Janelidze, Benedikt Jaeger, Patrick Sattler, Patryk Brzoza, Georg Carle |
| 2023 | On the Fence: Anomaly Detection in IoT Networks. Patrick Russell, Marwa A. Elsayed, Biswajit Nandy, Nabil Seddigh, Nur Zincir-Heywood |
| 2023 | On the Impact of Blackhole-Attack Variations on ML-based Intrusion Detection Systems in IoT. Amin Kaveh, Adam Pettersson, Christian Rohner, Andreas Johnsson |
| 2023 | On the Real Evaluation of a Collective Perception Service. Pedro Almeida, Andreia Figueiredo, Pedro Rito, Miguel Luís, Susana Sargento |
| 2023 | On the Temporal Behaviour of a Large-Scale Microservice Architecture. Giles Winchester, George Parisis, Luc Berthouze |
| 2023 | On the Way to Realize the 5 George Dimitrakopoulos, Thomas Gutt, Hans Ehm, Alfred Hoess, Konstantina Karathanasopoulou, Anna Lackner, Germar Schneider |
| 2023 | Optimized Power Commissioning in WDM Networks Using Optical Network Digital Twin. Mahdi Hemmati, Yuren You, Abbas Javadtalab, Christopher Janz |
| 2023 | Optimizing Network Slicing in Distributed Large Scale Infrastructures: From Heuristics to Controlled Deep Reinforcement Learning. José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens |
| 2023 | Optimizing Resource Placement for Long-term Disaster Response. Nobukazu Fukuda, Mayu Yamazoe, Hiroaki Matsubayashi, Kazuaki Akashi, Shunsuke Kanai |
| 2023 | PRINCIPIA: Opportunistic CPU and CPU-shares Allocation for Containerized Virtualization in Mobile Edge Computing. Andrés F. Ocampo, Mah-Rukh Fida, Juan Felipe Botero, Ahmed Elmokashfi, Haakon Bryhni |
| 2023 | Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems. Gaspard Baye, Priscila Silva, Alexandre Broggi, Lance Fiondella, Nathaniel D. Bastian, Gökhan Kul |
| 2023 | Performance Comparison of UDP and TCP for Different CoAP Load Profiles. David Pop, Erkin Kirdan, Marc-Oliver Pahl |
| 2023 | Performance Evaluation of Next-Generation Data Plane Architectures and their Components. Stefan Geißler, Tobias Hoßfeld |
| 2023 | Performance of a TDOA indoor positioning solution in real-world 5G network. Péter Revisnyei, Ferenc Mogyorósi, Zsófia Papp, István Töros, Alija Pasic |
| 2023 | Predicting Mobility Management Demands of Cellular Networks based on User Behavior. Lajos Bence Makai, Pál Varga |
| 2023 | Probabilistic Distributed Intrusion Detection For Zero-Trust Multi-Access Edge Computing. Rahul Sharma, Chien Aun Chan, Christopher Leckie |
| 2023 | Programmable Active Scans Controlled by Passive Traffic Inference for IoT Asset Characterization. Hugo Sullivan, Arunan Sivanathan, Ayyoob Hamza, Hassan Habibi Gharakheili |
| 2023 | Protected load-balancing problem: Neural-network based approximation for non-convex optimization. Youcef Magnouche, Sébastien Martin, Jérémie Leguay |
| 2023 | Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR'16. José Camacho, Katarzyna Wasielewska, Pablo Espinosa, Marta Fuentes-García |
| 2023 | RAVIN: A Resource-aware VNF Placement Scheme with Performance Guarantees. Venkatarami Reddy Chintapalli, Vishal Siva Kumar Giduturi, Bheemarjuna Reddy Tamma, A. Antony Franklin |
| 2023 | RL-based Virtual Network Embedding using VNF Sharing for Network Slicing in 5G Networks. Arihant Samar, Krishna M. Sivalingam |
| 2023 | Real-time Medical Devices Inventory Tracking - a Hands-on Experience. Bruno Rodrigues, Eder J. Scheid, Julius Willems, Burkhard Stiller |
| 2023 | Reinforcement Learning based model for Maximizing Operator's Profit in Open-RAN. Mahdi Sharara, Sahar Hoteit, Véronique Vèque |
| 2023 | Resilience of Networks to Spreading Computer Viruses: Optimal Anti-Virus Deployment. Jhonatan Tavori, Hanoch Levy |
| 2023 | Responding to Network Failures at Data-plane Speeds with Network Programmability. Jonatas Adilson Marques, Kirill Levchenko, Luciano Paschoal Gaspary |
| 2023 | SDN-based GTP-U Traffic Analysis for 5G Networks. Diana Pineda, Ricardo Harrilal-Parchment, Kemal Akkaya, Alexander Perez-Pons |
| 2023 | SDN-based Testbed for Emerging Use Cases in Beyond 5G NTN-Terrestrial Networks. Mario Minardi, Youssouf Drif, Thang X. Vu, Ilora Maity, Christos Politis, Symeon Chatzinotas |
| 2023 | SFL-LEO: Secure Federated Learning Computation Based on LEO Satellites for 6G Non-Terrestrial Networks. Sheikh Salman Hassan, Umer Majeed, Zhu Han, Choong Seon Hong |
| 2023 | SampleHST: Efficient On-the-Fly Selection of Distributed Traces. Alim Ul Gias, Yicheng Gao, Matthew Sheldon, José A. Perusquía, Owen O'Brien, Giuliano Casale |
| 2023 | SatAIOps: Revamping the Full Life-Cycle Satellite Network Operations. Peng Hu |
| 2023 | Scaling IoT MUD Enforcement using Programmable Data Planes. Harish S. A, Suvrima Datta, Hemanth Kothapalli, Praveen Tammana, Achmad Basuki, Kotaro Kataoka, Selvakumar Manickam, U. Venkanna, Yung-Wey Chong |
| 2023 | SecBox: A Lightweight Container-based Sandbox for Dynamic Malware Analysis. Jan von der Assen, Alberto Huertas Celdrán, Adrian Zermin, Raffael Mogicato, Gérôme Bovet, Burkhard Stiller |
| 2023 | Self-adaptive and Efficient Training Node Selection for Federated Learning in B5G/6G Edge Network. Can Tan, Peng Yu, Wenjing Li, Fanqin Zhou, Ying Wang, Siya Xu, Xuesong Qiu, Qingbi Zheng, Pei Xiao |
| 2023 | Serene: Handling the Effects of Stragglers in In-Network Machine Learning Aggregation. Diego Cardoso Nunes, Bruno Loureiro Coelho, Ricardo Parizotto, Alberto Schaeffer-Filho |
| 2023 | Stable 5G Time Domain Resource Configuration for Synchronous Timing Services via Lyapunov Aided DRL. Yanbo Zhou, Lei Feng, Kunyi Xie, Fanqin Zhou, Wenjing Li, Peng Yu |
| 2023 | Stochastic Qubit Resource Allocation for Quantum Cloud Computing. Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Jiawen Kang |
| 2023 | Telemetry Knowledge Distributed Processing for Network Digital Twins and Network Resilience. Pedro Martinez-Julia, Ved P. Kafle, Hitoshi Asaeda |
| 2023 | Time Constraints on Vehicular Edge Computing: A Performance Analysis. Rodrigo Rosmaninho, Duarte M. G. Raposo, Pedro Rito, Susana Sargento |
| 2023 | TopoFuzzer - A Network Topology Fuzzer for Moving Target Defense in the Telco Cloud. Wissem Soussi, Maria Christopoulou, Themis Anagnostopoulos, Gürkan Gür, Burkhard Stiller |
| 2023 | Topology Discovery in Autonomic Networks. Parsa Ghaderi, J. William Atwood, Lata Narayanan |
| 2023 | Towards Autonomous Computer Networks in Support of Critical Systems. Alessio Sacco, Guido Marchetto |
| 2023 | Towards In-Network Semantic Analysis: A Case Study involving Spam Classification. Cyprien Gueyraud, Nik Sultana |
| 2023 | Towards Security Metrics Combining Risks of Known and Zero-day Attacks: Work in Progress. Vladimir Marbukh |
| 2023 | Towards an Edge Cloud Based Coordination Platform for Multi-User AR Applications Built on Open-Source SLAMs. Balázs Sonkoly, Bálint György Nagy, János Dóka, Zsófia Kecskés-Solymosi, János Czentye, Bence Formanek, Dávid Jocha, Balázs Péter Gero |
| 2023 | Traffic Flow based Feature Engineering for Urban Management System. Hongfan Mu, Noura Aljeri, Azzedine Boukerche |
| 2023 | Transmitting Information with Global-designation of Emergency Routes for Edge Video Processing. Michael Miller, Anvitha Ramachandran, Alicia Esquivel Morel, Durbek Gafurov, Prasad Calyam |
| 2023 | Trust Me: Explainable ML in Self-Organized Network Management. Faiaz Nazmetdinov, Diego Preciado, Andreas Mitschele-Thiel |
| 2023 | Trust Quantification in a Collaborative Drone System with Intelligence-driven Edge Routing. Alicia Esquivel Morel, Ekincan Ufuktepe, Cameron Grant, Samuel Elfrink, Chengyi Qu, Prasad Calyam, Kannappan Palaniappan |
| 2023 | Understanding Semantics in Feature Selection for Fault Diagnosis in Network Telemetry Data. Thomas Feltin, Juan Antonio Cordero Fuertes, Frank Brockners, Thomas Heide Clausen |
| 2023 | Uplink-based Live Session Model for Stalling Prediction in Video Streaming. Frank Loh, Andrea Pimpinella, Stefan Geißler, Tobias Hoßfeld |
| 2023 | Using Stochastic Petri net modeling for self-adapting Publish/Subscribe IoT systems. Mohammed Djahafi, Nabila Salmi |
| 2023 | Using a P4 Hardware Switch to Block Trackers and Ads for All Devices on an Edge Network. Shie-Yuan Wang, Jin-Ting Li |
| 2023 | V2N Service Scaling with Deep Reinforcement Learning. Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Chrysa Papagianni, Paola Grosso |
| 2023 | VERMONT: Towards an In-band Telemetry-Based Approach for Live Network Property Verification. Gabriel Vassoler, Jonatas Adilson Marques, Luciano Paschoal Gaspary |
| 2023 | Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution Internet Traffic Prediction. Sajal Saha, Anwar Haque |
| 2023 | Worst Attack Vulnerability and Fortification for IoT Security Management: An approach and An Illustration for Smart Home IoT. Fathima James, Indrajit Ray, Deep Medhi |
| 2023 | XRP-NDN overlay: Improving the Communication Efficiency of Consensus-Validation based Blockchains with an NDN Overlay. Lucian Trestioreanu, Wazen M. Shbair, Flaviene Scheidt de Cristo, Radu State |
| 2023 | gym-hpa: Efficient Auto-Scaling via Reinforcement Learning for Complex Microservice-based Applications in Kubernetes. José Santos, Tim Wauters, Bruno Volckaert, Filip De Turck |
| 2023 | mmCPTP: A Cross-Layer Pull based Transport Protocol for 5G mmWave Networks. Prasad Netalkar, Jiachen Chen, Dipankar Raychaudhuri |