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Papers by Title
5G E2E Network Slicing Predictable Traffic Generator
A Critical Study of Few-shot Learning for Encrypted Traffic Classification
A Fair Approach to the Online Placement of the Network Services over the Edge
A Lightweight Heuristic for Micro-services Placement and Chaining in Low Latency Services
A Marketplace Solution for Distributed Network Management and Orchestration of Slices
A Token-Prioritization Strategy for Handling Data Imbalance in Network-Change Ticket Classification
Adaptive Entanglement Routing for Quantum Networks with Cutoff
Adaptive Model Aggregation for Decentralized Federated Learning in Vehicular Networks
ADFAT: Adversarial Flow Arrival Time Generation for Demand-Oblivious Data Center Networks
AI Toolbox Concept for the Arrowhead Framework
An Empirical Approach to Evaluate the Resilience of QUIC Protocol against Handshake Flood Attacks
An explainable-by-design ensemble learning system to detect unknown network attacks
Analyzing the Quality of Synthetic Adversarial Cyberattacks
ASSL as an Intent Expression Language for Autonomic Intent-Driven Networking
BGP Control Plane Overhead in Fat-Trees: An Analytical Approach
BGPEval: Automating Large-Scale Testbed Creation
Blockchain-Based Self-Sovereign Identity for Federated Learning in Vehicular Networks
Bridging Resource Prediction and System Management: A Case Study in Cloud Systems
Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach
CML-IDS: Enhancing Intrusion Detection in SDN through Collaborative Machine Learning
Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting
CrossBal: Data and Control Plane Cooperation for Efficient and Scalable Network Load Balancing
Data Fabrics for Multi-Domain Information Systems
DDoS Attacks Mitigation in 5G-V2X Networks: A Reinforcement Learning-based Approach
Deciphering DDoS Attacks through a Global Lens
Deep Learning in NLP for Anomalous HTTP Requests Detection
Deep Reinforcement Learning based Command Control System for Automating Fault Diagnosis
Deep Reinforcement Learning for Network Service Recovery in Large-scale Failures
DEFT: Distributed, Elastic, and Fault-tolerant State Management of Network Functions
Deploying Disaster-Resilient Service Function Chains Using Adaptive Multi-Path Routing
Disaggregating a 5G Non-Public Network via On-demand Cloud-Native UPF Deployments
Dom2Vec - Detecting DGA Domains through Word Embeddings and AI/ML-driven Lexicographic Analysis
dot2net: A labeled graph approach for template-based configuration of emulation networks
DTL-IDS: Deep Transfer Learning-based Intrusion Detection System in 5G Networks
Empirical analysis of the fine-tuning for Unsupervised Anomaly Detection in the ICT system
Energy Efficient VNF-FG Embedding via Attention-based Deep Reinforcement Learning
Enhancing DeCrypto: Finding Cryptocurrency Miners based on Periodic Behavior
Enterprise Application Outage Prediction Using XGBoost and LSTM
Federated Scheduling of Fog-native Applications over Multi-Domain Edge-to-Cloud Ecosystem
Improved Video QoE in Wireless Networks using Deep Reinforcement Learning
Improving System Configurations using Domain Knowledge Assisted Semi-Supervised Learning
Joint Routing and GCL Scheduling Algorithm Based on Tabu Search in TSN
Learning-Based Formation Control of UAV-fleet
Leveraging Spatiotemporal Relations for Predicting Potential Link Failures
LLM-based policy generation for intent-based management of applications
Log Analysis and Prediction for Anomaly Detection in Network Switches
Look at my Network: An insight into the ISP Backbone Traffic
Low Impact Tenant Code Updates on Multi-tenant Programmable Switches
MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection
Mitigating Signaling Storms in 5G with Blockchain-assisted 5GAKA
ML-based translation methods for protocols and data formats
Network Traffic Classification based on Single Flow Time Series Analysis
On Integrated Wired and Wireless Time-Sensitive Networking using SDN
On large-scale IP service disruptions dependencies
Online Utilization Maximization in Resource Allocation with Minimum Service Guarantees
Optimal Functional Splitting, Placement and Routing for Isolation-Aware Network Slicing in NG-RAN
Path Oracle: Improving Performance of Path-Aware Applications in SCION
Path Plausibility Algorithms in GoBGP
Performance Impact of Queue Sorting in Container-based Application Scheduling
Predicting the Performance of DNNs to Support Efficient Resource Allocation
Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices
pUpdate: Priority-based Scheduling for Continuous and Consistent Network Updates in SDN
Scalable and Efficient Link Layer Topology Discovery for Autonomic Networks
SDN Lullaby: VM Consolidation for SDN using Transformer-Based Deep Reinforcement Learning
Settling issues in IEEE 802.1AS networks in PI based clock servos
Subscription Management for Beyond 5G and 6G Cellular Networks using Blockchain Technology
Synthesizing and Scaling WAN Topologies using Permutation-invariant Graph Generative Models
Tailoring MLOps Techniques for Industry 5.0 Needs
TinyG: Accurate IP Geolocation Using a Tiny Number of Probers
Vendor Agnostic Network Service Orchestration with Stacked NSO Services
Workload Placement with Bounded Slowdown in Disaggregated Datacenters
