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Publication search results
found 203 matches
- 2023
- Luís Rosa, Tiago Cruz, Paulo Simões, Edmundo Monteiro:
Intrusion and Anomaly Detection in Industrial Automation and Control Systems. NOMS 2023: 1-6 - Katharina Dietz, Nicholas Gray, Manuel Wolz, Claas Lorenz, Tobias Hoßfeld, Michael Seufert:
Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls. NOMS 2023: 1-7 - Bruno Rodrigues, Eder J. Scheid, Julius Willems, Burkhard Stiller:
Real-time Medical Devices Inventory Tracking - a Hands-on Experience. NOMS 2023: 1-6 - José Camacho, Katarzyna Wasielewska, Pablo Espinosa, Marta Fuentes-García:
Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR'16. NOMS 2023: 1-5 - José Santos, Tim Wauters, Filip De Turck:
Efficient Management in Fog Computing. NOMS 2023: 1-6 - José Santos, Tim Wauters, Bruno Volckaert, Filip De Turck:
gym-hpa: Efficient Auto-Scaling via Reinforcement Learning for Complex Microservice-based Applications in Kubernetes. NOMS 2023: 1-9 - Shuwen Liu, Yu Liu, Craig A. Shue:
Inspecting Traffic in Residential Networks with Opportunistically Outsourced Middleboxes. NOMS 2023: 1-7 - Harish S. A, Suvrima Datta, Hemanth Kothapalli, Praveen Tammana, Achmad Basuki, Kotaro Kataoka, Selvakumar Manickam, U. Venkanna, Yung-Wey Chong:
Scaling IoT MUD Enforcement using Programmable Data Planes. NOMS 2023: 1-9 - Soroush Aalibagi, Mahdi Dolati, Sogand SadrHaghighi, Majid Ghaderi:
Low-Overhead Packet Loss Diagnosis for Virtual Private Clouds using P4-Programmable NICs. NOMS 2023: 1-9 - Saad Abouzahir, Essaid Sabir, Halima Elbiaze, Mohamed Sadik:
Federated Power Control for Predictive QoS in 5G and Beyond: A Proof of Concept for URLLC. NOMS 2023: 1-7 - Apurba Adhikary, Md. Shirajum Munir, Avi Deb Raha, Yu Qiao, Choong Seon Hong:
Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO. NOMS 2023: 1-7 - Mohamad Ahmadinejad, Tahmina Azmin, Nashid Shahriar:
5G Network Slice Type Classification using Traditional and Incremental Learning. NOMS 2023: 1-5 - Alessandro Aimi, Stéphane Rovedakis, Fabrice Guillemin, Stefano Secci:
ELoRa: End-to-end Emulation of Massive IoT LoRaWAN Infrastructures. NOMS 2023: 1-3 - Nour Alhussien, Ahmed Aleroud:
A Novel Poisoning Attack on Few-Shot based Network Intrusion Detection. NOMS 2023: 1-5 - Pedro Almeida, Andreia Figueiredo, Pedro Rito, Miguel Luís, Susana Sargento:
On the Real Evaluation of a Collective Perception Service. NOMS 2023: 1-6 - Jonas Andre, Johannes Naab, Benedikt Jaeger, Georg Carle, Leander Seidlitz, Stephan M. Günther:
A Multi-Tenancy System Architecture for Online Examinations. NOMS 2023: 1-6 - Omar Anser, Jérôme François, Isabelle Chrisment:
Auto-tuning of Hyper-parameters for Detecting Network Intrusions via Meta-learning. NOMS 2023: 1-6 - Jan von der Assen, Alberto Huertas Celdrán, Adrian Zermin, Raffael Mogicato, Gérôme Bovet, Burkhard Stiller:
SecBox: A Lightweight Container-based Sandbox for Dynamic Malware Analysis. NOMS 2023: 1-3 - Pyae Sone Aung, Loc X. Nguyen, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
Deep Reinforcement Learning based Spectral Efficiency Maximization in STAR-RIS-Assisted Indoor Outdoor Communication. NOMS 2023: 1-6 - Marios Avgeris, Aris Leivadeas, Nikolaos Athanasopoulos, Ioannis Lambadaris, Matthias Falkner:
Model Predictive Control for Automated Network Assurance in Intent-Based Networking enabled Service Function Chains. NOMS 2023: 1-7 - Marios Avgeris, Aris Leivadeas, Ioannis Lambadaris:
A Reinforcement-Learning Self-Healing Approach for Virtual Network Function Placement. NOMS 2023: 1-5 - Karim Baccar, Abdelkader Lahmadi:
An Experimental Testbed for 5G Network Security Assessment. NOMS 2023: 1-6 - Tanmoy Bag, Sharva Garg, Sriram Parameswaran, Diego Fernando Preciado Rojas, Andreas Mitschele-Thiel:
Communication-Efficient and Scalable Management of Self-Organizing Mobile Networks. NOMS 2023: 1-5 - Marcell Balogh, András Földvári, Pál Varga:
Digital Twins in Industry 5.0: Challenges in Modeling and Communication. NOMS 2023: 1-6 - Nikolaos Baltagiannis, Ioanna Angeliki Kapetanidou, Vassilis Tsaoussidis:
EFPCaching: Energy-aware and Fault-tolerant Probabilistic Caching of popular IoT content in ICN. NOMS 2023: 1-4 - Simon Bauer, Janluka Janelidze, Benedikt Jaeger, Patrick Sattler, Patryk Brzoza, Georg Carle:
On the Accuracy of Active Capacity Estimation in the Internet. NOMS 2023: 1-7 - Oscar G. Bautista, Kemal Akkaya:
MPC-as-a-Service: A Customizable Management Protocol for Running Multi-party Computation on IoT Devices. NOMS 2023: 1-6 - Gaspard Baye, Priscila Silva, Alexandre Broggi, Lance Fiondella, Nathaniel D. Bastian, Gökhan Kul:
Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems. NOMS 2023: 1-6 - Jeronimo Bezerra, Italo Brito, Renata Frez, Julio Ibarra:
An adaptive and efficient approach to detect microbursts leveraging per-packet telemetry in a production network. NOMS 2023: 1-6 - Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On enabling 5G Dynamic TDD by leveraging Deep Reinforcement Learning and O-RAN. NOMS 2023: 1-3
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