Author Index

Abdulazeez, Abdulhakeem

Learning-Based Formation Control of UAV-fleet

Adjei, Jeffrey

Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices

Agnihotri, Pratyush

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

Akashi, Kazuaki

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

Akbari, Elham

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

AL-Naday, Mays

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

Alberro, Leonardo

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

Ali Yahiya, Tara

Learning-Based Formation Control of UAV-fleet

Amannejad, Yasaman

Predicting the Performance of DNNs to Support Efficient Resource Allocation

Arouna, Alfred

On large-scale IP service disruptions dependencies

Arslan, Suayb

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

Aryal, Nischal

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

Atwood, J. William

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

Bannour Souihi, Sondes

Deep Learning in NLP for Anomalous HTTP Requests Detection

Baranda, Jorge

Disaggregating a 5G Non-Public Network via On-demand Cloud-Native UPF Deployments

Barrachina-Muñoz, Sergio

A Marketplace Solution for Distributed Network Management and Orchestration of Slices

Disaggregating a 5G Non-Public Network via On-demand Cloud-Native UPF Deployments

Beck, Clemens

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

Ben Letaifa, Asma

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

Beneš, Tomáš

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

Bertin, Emmanuel

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

Bertin, Philippe

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

Bhattacharjee, Bishwajit

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

Blanco, Luis

A Marketplace Solution for Distributed Network Management and Orchestration of Slices

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

Bless, Roland

Scalable and Efficient Link Layer Topology Discovery for Autonomic Networks

Borchert, Oliver

Path Plausibility Algorithms in GoBGP

Borsatti, Davide

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Bousalem, Badre

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

Boutaba, Raouf

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

A Token-Prioritization Strategy for Handling Data Imbalance in Network-Change Ticket Classification

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

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

Bruner, Jonas

Deciphering DDoS Attacks through a Global Lens

Bustos-Jiménez, Javier

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

Camelo, Miguel

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

Capdehourat, Germán

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

Carle, Georg

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

Casale, Giuliano

Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting

Casas, Pedro

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

Cejka, Tomas

Enhancing DeCrypto: Finding Cryptocurrency Miners based on Periodic Behavior

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

Network Traffic Classification based on Single Flow Time Series Analysis

Cerroni, Walter

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Chang, Chia-Yu

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

Chen, Jingshu

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

Chen, Yichong

Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting

Cheng, Yufan

Joint Routing and GCL Scheduling Algorithm Based on Tabu Search in TSN

Coelho, Bruno

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

Copstein, Rafael

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

Crespi, Noel

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

Csiszar, Zoltan

ML-based translation methods for protocols and data formats

D'hooge, Laurens

Performance Impact of Queue Sorting in Container-based Application Scheduling

Davoli, Gianluca

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

De Block, Tom

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

De Bock, Yorick

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

de Snayer, Kevin

Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices

De Turck, Filip

Performance Impact of Queue Sorting in Container-based Application Scheduling

De Vleeschauwer, Danny

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

den Hartog, Frank

On Integrated Wired and Wireless Time-Sensitive Networking using SDN

Dolati, Mahdi

Adaptive Model Aggregation for Decentralized Federated Learning in Vehicular Networks

Workload Placement with Bounded Slowdown in Disaggregated Datacenters

Dougall, Terri

Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices

Doyen, Guillaume

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

Dreo Rodosek, Gabi

BGPEval: Automating Large-Scale Testbed Creation

Path Plausibility Algorithms in GoBGP

Duarte, Elias

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

Dzeparoska, Kristina

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

El-Khatib, Khalil

Analyzing the Quality of Synthetic Adversarial Cyberattacks

Elgazzar, Khalid

Analyzing the Quality of Synthetic Adversarial Cyberattacks

Elmokashfi, Ahmed

On large-scale IP service disruptions dependencies

Esfandiari, Babak

Leveraging Spatiotemporal Relations for Predicting Potential Link Failures

Farzaneh, Behnam

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

Ficzere, Daniel

AI Toolbox Concept for the Arrowhead Framework

Findrik, Mislav

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

Flauzino, José

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

Fonseca e Silva, Vinicius

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

Foschini, Luca

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Frankó, Attila

AI Toolbox Concept for the Arrowhead Framework

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

Fukuda, Kensuke

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

Fukuda, Nobukazu

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

Fulber-Garcia, Vinicius

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

Fung, Carol

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

Gatto, Alberto

Adaptive Entanglement Routing for Quantum Networks with Cutoff

Geier, Timo

Low Impact Tenant Code Updates on Multi-tenant Programmable Switches

Ghaderi, Majid

Adaptive Model Aggregation for Decentralized Federated Learning in Vehicular Networks

Workload Placement with Bounded Slowdown in Disaggregated Datacenters

Ghaffari, Fariba

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

Golchin, Pegah

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

Golkarifard, Morteza

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

Grabarnik, Genady

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Grampín, Eduardo

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

Guo, ShaoYong

Joint Routing and GCL Scheduling Algorithm Based on Tabu Search in TSN

Habibi, Pooyan

Data Fabrics for Multi-Domain Information Systems

Hadjadj-Aoul, Yassine

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

Hajizadeh, Mehrdad

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

Harris, Dor

Online Utilization Maximization in Resource Allocation with Minimum Service Guarantees

Hassan, Ali

Enterprise Application Outage Prediction Using XGBoost and LSTM

Hausheer, David

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

Hegedus, Csaba

Tailoring MLOps Techniques for Industry 5.0 Needs

Helm, Max

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

Heywood, M. I.

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

Hezaveh, Arshiya

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

Höger, Nils

Path Plausibility Algorithms in GoBGP

Hollósi, Gergely

AI Toolbox Concept for the Arrowhead Framework

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

Hong, James

Log Analysis and Prediction for Anomaly Detection in Network Switches

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

Hong, Jibum

Log Analysis and Prediction for Anomaly Detection in Network Switches

Houidi, Ines

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

Houidi, Omar

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

Huang, Jun

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

Huin, Nicolas

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

Hynek, Karel

Network Traffic Classification based on Single Flow Time Series Analysis

Jaafar, Wael

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

Jaberi, Solmaz

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

Jaumard, Brigitte

5G E2E Network Slicing Predictable Traffic Generator

Jeong, Eui-Dong

Log Analysis and Prediction for Anomaly Detection in Network Switches

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

Jiang, Nan

TinyG: Accurate IP Geolocation Using a Tiny Number of Probers

Jimenez Agudelo, Julian

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

Joarder, Y A

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

Johnston, Andrew

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

Kanai, Shunsuke

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

Kanhere, Salil

Deciphering DDoS Attacks through a Global Lens

Kant, Krishna

Improving System Configurations using Domain Knowledge Assisted Semi-Supervised Learning

Karagiannis, Vasileios

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

Kellerer, Wolfgang

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

Khan, Nasik Sami

A Token-Prioritization Strategy for Handling Data Imbalance in Network-Change Ticket Classification

Khanyari, Azan

On large-scale IP service disruptions dependencies

Kimura, Tatsuaki

Deep Reinforcement Learning based Command Control System for Automating Fault Diagnosis

Kobayashi, Satoru

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

Koerner, Marc

Vendor Agnostic Network Service Orchestration with Stacked NSO Services

Koumar, Josef

Enhancing DeCrypto: Finding Cryptocurrency Miners based on Periodic Behavior

Network Traffic Classification based on Single Flow Time Series Analysis

Krishnamurthy, Diwakar

Predicting the Performance of DNNs to Support Efficient Resource Allocation

Krueger, Thorben

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

Kumar, Vedant

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

Kundel, Ralf

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

Kunz, Thomas

Leveraging Spatiotemporal Relations for Predicting Potential Link Failures

Kur, Justin

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

Langar, Rami

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

Latré, Steven

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

Lefebvre, Cédric

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

Leon-Garcia, Alberto

Data Fabrics for Multi-Domain Information Systems

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

Limam, Noura

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

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

Lin, Jieyu

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

Liu, Jun

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

Livadariu, Ioana

On large-scale IP service disruptions dependencies

Loginov, Alexander

Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices

Macedo, Daniel

Improved Video QoE in Wireless Networks using Deep Reinforcement Learning

Madani, Mohamed Abderrahmane

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

Magnouche, Hichem

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

Mahrt, Hendrik

Scalable and Efficient Link Layer Topology Discovery for Autonomic Networks

Maillé, Patrick

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

Malekghaini, Navid

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

Manca, Lorenzo

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Mangues-Bafalluy, Josep

A Marketplace Solution for Distributed Network Management and Orchestration of Slices

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

Disaggregating a 5G Non-Public Network via On-demand Cloud-Native UPF Deployments

Martin, Steven

Learning-Based Formation Control of UAV-fleet

Mathieu, Bertrand

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

Matsuo, Yoichi

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

Meddahi, Ahmed

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

Michelinakis, Foivos

On large-scale IP service disruptions dependencies

Minh, Céline

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

Miura, Ryosuke

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

Miwa, Shinsuke

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

Miyachi, Toshiyuki

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

Moghaddassian, Morteza

Data Fabrics for Multi-Domain Information Systems

Mohammadi Koushki, Negar

Improving System Configurations using Domain Knowledge Assisted Semi-Supervised Learning

Momo Ziazet, Junior

5G E2E Network Slicing Predictable Traffic Generator

Moteau, Stephanie

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

Moura, Henrique

Improved Video QoE in Wireless Networks using Deep Reinforcement Learning

Movahedian Attar, Mahtab

Adaptive Model Aggregation for Decentralized Federated Learning in Vehicular Networks

Muktadir, Abu Hena Al

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

Müller, Katharina

Deciphering DDoS Attacks through a Global Lens

Mushtaq, Maria

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

Musumeci, Francesco

Adaptive Entanglement Routing for Quantum Networks with Cutoff

Nam, Sukhyun

Log Analysis and Prediction for Anomaly Detection in Network Switches

Naori, David

Online Utilization Maximization in Resource Allocation with Minimum Service Guarantees

Nguyen, Tien Anh

Deep Learning in NLP for Anomalous HTTP Requests Detection

Niblett, Bradley

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

Nikbakht, Rasoul

Disaggregating a 5G Non-Public Network via On-demand Cloud-Native UPF Deployments

Nobakht, Mehdi

On Integrated Wired and Wireless Time-Sensitive Networking using SDN

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

Oliveira, Junia

Improved Video QoE in Wireless Networks using Deep Reinforcement Learning

Owezarski, Philippe

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

Paquet, Joey

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

Payaró, Miquel

Disaggregating a 5G Non-Public Network via On-demand Cloud-Native UPF Deployments

Pešek, Jaroslav

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

Plný, Richard

Enhancing DeCrypto: Finding Cryptocurrency Miners based on Periodic Behavior

Poltronieri, Filippo

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Prodhon, Caroline

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

Qiu, Xuesong

Joint Routing and GCL Scheduling Algorithm Based on Tabu Search in TSN

Raz, Danny

Online Utilization Maximization in Resource Allocation with Minimum Service Guarantees

Reaz, Rezwana

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

Rezazadeh, Farhad

A Marketplace Solution for Distributed Network Management and Orchestration of Slices

Rieger, Sebastian

Low Impact Tenant Code Updates on Multi-tenant Programmable Switches

Ritchie, William

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

Rodday, Nils

BGPEval: Automating Large-Scale Testbed Creation

Path Plausibility Algorithms in GoBGP

Rodrigues, Bruno

Deciphering DDoS Attacks through a Global Lens

Roveri, Manuel

Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting

Sabeel, Ulya

Analyzing the Quality of Synthetic Adversarial Cyberattacks

Saha, Gourab

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

Sakka, Mohamed Anis

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

Salahuddin, Mohammad

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

Saleh, Aladdin

A Token-Prioritization Strategy for Handling Data Imbalance in Network-Change Ticket Classification

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

Sampalli, Srinivas

Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices

Santos, Carlos Raniery

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

Santos, José

Performance Impact of Queue Sorting in Container-based Application Scheduling

Schaeffer-Filho, Alberto

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

Schmidt, Sebastian

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

Schwartzentruber, Jeff

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

Scotece, Domenico

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Seehofer, Paul

Scalable and Efficient Link Layer Topology Discovery for Autonomic Networks

Sefati, Amirhossein

Workload Placement with Bounded Slowdown in Disaggregated Datacenters

Shafaghi, Shayan

Data Fabrics for Multi-Domain Information Systems

Shah, Sarah

Predicting the Performance of DNNs to Support Efficient Resource Allocation

Shah Heydari, Shahram

Analyzing the Quality of Synthetic Adversarial Cyberattacks

Enterprise Application Outage Prediction Using XGBoost and LSTM

Shahriar, Nashid

A Token-Prioritization Strategy for Handling Data Imbalance in Network-Change Ticket Classification

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

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

Shahriyar, Md Mahir

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

Shiiba, Ryusei

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

Shwartz, Larisa

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Soares, Daniel

Improved Video QoE in Wireless Networks using Deep Reinforcement Learning

Sondur, Sanjeev

Improving System Configurations using Domain Knowledge Assisted Semi-Supervised Learning

Song, Yuqian

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

Soto, Paola

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

Soualah, Oussama

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

Souihi, Sami

Deep Learning in NLP for Anomalous HTTP Requests Detection

Stefanelli, Cesare

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Steinmetz, Ralf

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

Stiller, Burkhard

Deciphering DDoS Attacks through a Global Lens

Taghavian, Masoud

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

Tahmid, Sheikh

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

Tayama, Kenichi

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

Texier, Geraldine

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

Teyssier, Benjamin

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

Tizghadam, Ali

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

Tong, Van

Deep Learning in NLP for Anomalous HTTP Requests Detection

Tornatore, Massimo

A Token-Prioritization Strategy for Handling Data Imbalance in Network-Change Ticket Classification

Adaptive Entanglement Routing for Quantum Networks with Cutoff

Torrealba, Lucas

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

Tortonesi, Mauro

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Tóthfalusi, Tamás

ML-based translation methods for protocols and data formats

Towhid, Md. Shamim

A Token-Prioritization Strategy for Handling Data Imbalance in Network-Change Ticket Classification

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

Tuffin, Bruno

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

Tuffin, Stephane

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

Tuli, Shreshth

Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting

Turk, Yekta

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

Varga, Eszter

ML-based translation methods for protocols and data formats

Varga, Pál

AI Toolbox Concept for the Arrowhead Framework

ML-based translation methods for protocols and data formats

Tailoring MLOps Techniques for Industry 5.0 Needs

Verkerken, Miel

Performance Impact of Queue Sorting in Container-based Application Scheduling

Vermeulen, Kevin

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

Vettori, Luca

A Marketplace Solution for Distributed Network Management and Orchestration of Slices

Vieira, Marcos

Improved Video QoE in Wireless Networks using Deep Reinforcement Learning

Volckaert, Bruno

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

Performance Impact of Queue Sorting in Container-based Application Scheduling

Wang, Jessie Hui

TinyG: Accurate IP Geolocation Using a Tiny Number of Probers

Wang, Jilong

TinyG: Accurate IP Geolocation Using a Tiny Number of Probers

Wang, Peiran

TinyG: Accurate IP Geolocation Using a Tiny Number of Probers

Wang, Ying

Joint Routing and GCL Scheduling Algorithm Based on Tabu Search in TSN

Wang, Yixing

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

Wauters, Tim

Performance Impact of Queue Sorting in Container-based Application Scheduling

Wubete, Bruck

Leveraging Spatiotemporal Relations for Predicting Potential Link Failures

Xiao, Yang

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

Xiong, Jiaheng

Adaptive Entanglement Routing for Quantum Networks with Cutoff

Xue, Ji

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

Yamauchi, Hiroshi

Deep Reinforcement Learning based Command Control System for Automating Fault Diagnosis

Yoo, Jae-Hyoung

Log Analysis and Prediction for Anomaly Detection in Network Switches

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

Yu, Peng

Joint Routing and GCL Scheduling Algorithm Based on Tabu Search in TSN

Zaccarini, Mattia

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Zeghlache, Djamal

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

Zeinaty, Paul

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

Zema, Nicola Roberto

Learning-Based Formation Control of UAV-fleet

Zerwas, Johannes

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

Zeydan, Engin

A Marketplace Solution for Distributed Network Management and Orchestration of Slices

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

Zhang, Bohan

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

Zhang, Junye

Joint Routing and GCL Scheduling Algorithm Based on Tabu Search in TSN

Zhang, Qiaolun

Adaptive Entanglement Routing for Quantum Networks with Cutoff

Zhou, Chengbo

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

Zhou, Fen

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

Zhou, Jingli

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

Zhuang, Zhihan

Joint Routing and GCL Scheduling Algorithm Based on Tabu Search in TSN

Zincir-Heywood, Nur

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

Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices

Zitterbart, Martina

Scalable and Efficient Link Layer Topology Discovery for Autonomic Networks