Improved Video QoE in Wireless Networks using Deep Reinforcement Learning

Henrique Moura, Junia Oliveira, Daniel Soares, Daniel Macedo, Marcos Vieira

Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4

Yixing Wang, Yang Xiao, Yuqian Song, Jingli Zhou, Jun Liu

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

Energy Efficient VNF-FG Embedding via Attention-based Deep Reinforcement Learning

Omar Houidi, Oussama Soualah, Ines Houidi, Djamal Zeghlache

Learning-Based Formation Control of UAV-fleet

Abdulhakeem Abdulazeez, Nicola Roberto Zema, Tara Ali Yahiya, Steven Martin

Subscription Management for Beyond 5G and 6G Cellular Networks using Blockchain Technology

Nischal Aryal, Fariba Ghaffari, Emmanuel Bertin, Noel Crespi

A Fair Approach to the Online Placement of the Network Services over the Edge

Masoud Taghavian, Yassine Hadjadj-Aoul, Geraldine Texier, Nicolas Huin, Philippe Bertin

Look at my Network: An insight into the ISP Backbone Traffic

Tomáš Beneš, Jaroslav Pešek, Tomas Cejka

Federated Scheduling of Fog-native Applications over Multi-Domain Edge-to-Cloud Ecosystem

Mays AL-Naday, Vasileios Karagiannis, Tom De Block, Bruno Volckaert

Blockchain-Based Self-Sovereign Identity for Federated Learning in Vehicular Networks

Engin Zeydan, Luis Blanco, Josep Mangues-Bafalluy, Suayb Arslan, Yekta Turk

LLM-based policy generation for intent-based management of applications

Kristina Dzeparoska, Jieyu Lin, Ali Tizghadam, Alberto Leon-Garcia

5G E2E Network Slicing Predictable Traffic Generator

Brigitte Jaumard, Junior Momo Ziazet

MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection

Rafael Copstein, Bradley Niblett, Andrew Johnston, Jeff Schwartzentruber, M. I. Heywood, Nur Zincir-Heywood

Analyzing Network (Non-)Neutrality for Monopolistic, Competing, or Vertically Integrated Content Providers with a Unified Model

Vedant Kumar, Patrick Maillé, Bruno Tuffin

Predicting the Performance of DNNs to Support Efficient Resource Allocation

Sarah Shah, Diwakar Krishnamurthy, Yasaman Amannejad

pUpdate: Priority-based Scheduling for Continuous and Consistent Network Updates in SDN

Mehdi Nobakht, Arshiya Hezaveh

Synthesizing and Scaling WAN Topologies using Permutation-invariant Graph Generative Models

Max Helm, Georg Carle

DEFT: Distributed, Elastic, and Fault-tolerant State Management of Network Functions

Md Mahir Shahriyar, Gourab Saha, Bishwajit Bhattacharjee, Rezwana Reaz

Settling issues in IEEE 802.1AS networks in PI based clock servos

Attila Frankó, Gergely Hollósi

AI Toolbox Concept for the Arrowhead Framework

Daniel Ficzere, Gergely Hollósi, Attila Frankó, Pál Varga

Tailoring MLOps Techniques for Industry 5.0 Needs

Csaba Hegedus, Pál Varga

A Marketplace Solution for Distributed Network Management and Orchestration of Slices

Engin Zeydan, Luis Blanco, Sergio Barrachina-Muñoz, Farhad Rezazadeh, Luca Vettori, Josep Mangues-Bafalluy

Enhancing DeCrypto: Finding Cryptocurrency Miners based on Periodic Behavior

Josef Koumar, Richard Plný, Tomas Cejka

Network Traffic Classification based on Single Flow Time Series Analysis

Josef Koumar, Karel Hynek, Tomas Cejka

Deciphering DDoS Attacks through a Global Lens

Jonas Bruner, Bruno Rodrigues, Katharina Müller, Salil Kanhere, Burkhard Stiller

BGP Control Plane Overhead in Fat-Trees: An Analytical Approach

Leonardo Alberro, Eduardo Grampín

Log Analysis and Prediction for Anomaly Detection in Network Switches

Sukhyun Nam, Eui-Dong Jeong, Jibum Hong, Jae-Hyoung Yoo, James Hong

Empirical analysis of the fine-tuning for Unsupervised Anomaly Detection in the ICT system

Yoichi Matsuo

Enterprise Application Outage Prediction Using XGBoost and LSTM

Ali Hassan, Shahram Shah Heydari

Vendor Agnostic Network Service Orchestration with Stacked NSO Services

Marc Koerner

ML-based translation methods for protocols and data formats

Tamás Tóthfalusi, Eszter Varga, Zoltan Csiszar, Pál Varga

Path Oracle: Improving Performance of Path-Aware Applications in SCION

Thorben Krueger, Clemens Beck, David Hausheer

On Integrated Wired and Wireless Time-Sensitive Networking using SDN

Mehdi Nobakht, Frank den Hartog

SDN Lullaby: VM Consolidation for SDN using Transformer-Based Deep Reinforcement Learning

Eui-Dong Jeong, Jae-Hyoung Yoo, James Hong

Adaptive Model Aggregation for Decentralized Federated Learning in Vehicular Networks

Mahtab Movahedian Attar, Mahdi Dolati, Majid Ghaderi

Mitigating Signaling Storms in 5G with Blockchain-assisted 5GAKA

Bohan Zhang, Paul Zeinaty, Noura Limam, Raouf Boutaba

Online Utilization Maximization in Resource Allocation with Minimum Service Guarantees

Dor Harris, David Naori, Danny Raz

An Empirical Approach to Evaluate the Resilience of QUIC Protocol against Handshake Flood Attacks

Benjamin Teyssier, Y A Joarder, Carol Fung

An explainable-by-design ensemble learning system to detect unknown network attacks

Céline Minh, Kevin Vermeulen, Cédric Lefebvre, Philippe Owezarski, William Ritchie

CML-IDS: Enhancing Intrusion Detection in SDN through Collaborative Machine Learning

Pegah Golchin, Chengbo Zhou, Pratyush Agnihotri, Mehrdad Hajizadeh, Ralf Kundel, Ralf Steinmetz

Dom2Vec - Detecting DGA Domains through Word Embeddings and AI/ML-driven Lexicographic Analysis

Lucas Torrealba, Pedro Casas, Javier Bustos-Jiménez, Germán Capdehourat, Mislav Findrik

BGPEval: Automating Large-Scale Testbed Creation

Nils Rodday, Gabi Dreo Rodosek

Analyzing the Quality of Synthetic Adversarial Cyberattacks

Ulya Sabeel, Shahram Shah Heydari, Khalil El-Khatib, Khalid Elgazzar

ADFAT: Adversarial Flow Arrival Time Generation for Demand-Oblivious Data Center Networks

Sebastian Schmidt, Johannes Zerwas, Wolfgang Kellerer

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

Deep Reinforcement Learning for Network Service Recovery in Large-scale Failures

Kazuaki Akashi, Nobukazu Fukuda, Shunsuke Kanai, Kenichi Tayama

Leveraging Spatiotemporal Relations for Predicting Potential Link Failures

Bruck Wubete, Babak Esfandiari, Thomas Kunz

Deploying Disaster-Resilient Service Function Chains Using Adaptive Multi-Path Routing

Mohamed Abderrahmane Madani, Fen Zhou, Ahmed Meddahi

On large-scale IP service disruptions dependencies

Alfred Arouna, Ioana Livadariu, Azan Khanyari, Ahmed Elmokashfi

Deep Reinforcement Learning based Command Control System for Automating Fault Diagnosis

Hiroshi Yamauchi, Tatsuaki Kimura

Optimal Functional Splitting, Placement and Routing for Isolation-Aware Network Slicing in NG-RAN

Maria Mushtaq, Morteza Golkarifard, Nashid Shahriar, Raouf Boutaba, Aladdin Saleh

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

dot2net: A labeled graph approach for template-based configuration of emulation networks

Satoru Kobayashi, Ryusei Shiiba, Ryosuke Miura, Shinsuke Miwa, Toshiyuki Miyachi, Kensuke Fukuda

An ETSI-compliant Architecture for the Element Management System: The Key for Holistic NFV Management

Vinicius Fulber-Garcia, José Flauzino, Carlos Raniery Santos, Elias Duarte

A Lightweight Heuristic for Micro-services Placement and Chaining in Low Latency Services

Hichem Magnouche, Guillaume Doyen, Caroline Prodhon

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 Grabarnik, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi, Walter Cerroni

Workload Placement with Bounded Slowdown in Disaggregated Datacenters

Amirhossein Sefati, Mahdi Dolati, Majid Ghaderi

Performance Impact of Queue Sorting in Container-based Application Scheduling

José Santos, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck

Low Impact Tenant Code Updates on Multi-tenant Programmable Switches

Timo Geier, Sebastian Rieger

Improving System Configurations using Domain Knowledge Assisted Semi-Supervised Learning

Negar Mohammadi Koushki, Sanjeev Sondur, Krishna Kant

ASSL as an Intent Expression Language for Autonomic Intent-Driven Networking

Solmaz Jaberi, J. William Atwood, Joey Paquet

Bridging Resource Prediction and System Management: A Case Study in Cloud Systems

Justin Kur, Ji Xue, Jingshu Chen, Jun Huang

Resource Allocation of Multi-user Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning

Julian Jimenez Agudelo, Paola Soto, Danny De Vleeschauwer, Chia-Yu Chang, Yorick De Bock, Steven Latré, Miguel Camelo

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

CrossBal: Data and Control Plane Cooperation for Efficient and Scalable Network Load Balancing

Bruno Coelho, Alberto Schaeffer-Filho

Scalable and Efficient Link Layer Topology Discovery for Autonomic Networks

Paul Seehofer, Roland Bless, Hendrik Mahrt, Martina Zitterbart

TinyG: Accurate IP Geolocation Using a Tiny Number of Probers

Nan Jiang, Jessie Hui Wang, Jilong Wang, Peiran Wang

DDoS Attacks Mitigation in 5G-V2X Networks: A Reinforcement Learning-based Approach

Badre Bousalem, Mohamed Sakka, Vinicius Silva, Wael Jaafar, Asma Ben Letaifa, Rami Langar

DTL-IDS: Deep Transfer Learning-based Intrusion Detection System in 5G Networks

Behnam Farzaneh, Nashid Shahriar, Abu Hena Al Muktadir, Md. Shamim Towhid

Data Fabrics for Multi-Domain Information Systems

Pooyan Habibi, Morteza Moghaddassian, Shayan Shafaghi, Alberto Leon-Garcia

Path Plausibility Algorithms in GoBGP

Nils Höger, Nils Rodday, Oliver Borchert, Gabi Dreo Rodosek

Adaptive Entanglement Routing for Quantum Networks with Cutoff

Jiaheng Xiong, Qiaolun Zhang, Alberto Gatto, Francesco Musumeci, Massimo Tornatore

A Critical Study of Few-shot Learning for Encrypted Traffic Classification

Elham Akbari, Sheikh Tahmid, Navid Malekghaini, Mohammad Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stephane Tuffin

Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting

Yichong Chen, Manuel Roveri, Shreshth Tuli, Giuliano Casale

Deep Learning in NLP for Anomalous HTTP Requests Detection

Tien Anh Nguyen, Van Tong, Sondes Bannour Souihi, Sami Souihi