May, 8th 2023
All sessions in Room 124
9:00-9:15 Opening & Introduction
9:15-10:45 Session 1: Security & Intrusion Detection I
Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems
Gaspard Baye, University of Massachusetts, USA
Priscila Silva, University of Massachusetts, USA
Alexandre Broggi, University of Massachusetts, USA
Lance Fiondella, University of Massachusetts, USA
Nathaniel Bastian, United States Military Academy, West Point, USA
Gokhan Kul, University of Massachusetts, USA
Investigating adversarial attacks against Random Forest-based network attack detection systems
Philippe Owezarski, Université de Toulouse, France
Early Detection of Intrusion in SDN
Md. Shamim Towhid, University of Regina, Canada
Nashid Shahriar, University of Regina, Canada
10:45-11:00 Break
11:00-12:30 Session 2: Cloud Computing and Anomaly Detection
A Stacking Learning-Based QoE Model for Cloud Gaming
Daniel Soares, Universidade Federal de Minas Gerais, Brazil
Marcos Carvalho, Universidade Federal de Minas Gerais, Brazil
Daniel F. Macedo, Universidade Federal de Minas Gerais, Brazil
Efficient Periodicity Analysis for Real-Time Anomaly Detection
Yusufu Shehu, Moogsoft Ltd., UK
Robert Harper, Moogsoft Ltd., UK
On the Temporal Behaviour of a Large-Scale Microservice Architecture
Giles Winchester, University of Sussex, UK
George Parisis, University of Sussex, UK
Luc Berthouze, University of Sussex, UK
12:30-13:30 Lunch
13:30-15:00 Session 3: Machine Learning for Network Management
Trust Me: Explainable ML in Self-Organized Network Management
Faiaz Nazmetdinov, Ilmenau University of Technology, Germany
Diego Preciado, Ilmenau University of Technology, Germany
Andreas Mitschele-Thiel, AiVader GmbH, Germany
Graph-based Interpretable Anomaly Detection Framework for Network Slice Management in Beyond 5G Networks
Ashima Chawla, Ericsson, Network Management, Ireland
Anne-Marie Bosneag, Ericsson, Network Management, Ireland
Anestis Dalgkitsis, Iquadrat Informatica S.L., Spain
Autoscaling Packet Core Network Functions with Deep Reinforcement Learning
Jatinder Singh, Orange Innovation Networks, India
Shantanu Verma, Orange Innovation Networks, India
Yoichi Matsuo, NTT Network Service Systems Laboratories, Japan
Francesca Fossati, Sorbonne Université, France
Guillaume Fraysse, Orange Innovation Networks, France
15:00-15:30 Break
15:30-17:00 Session 4: Security & Intrusion Detection II
Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution
Aldin Vehabovic, University of South Florida, USA
Hadi Zanddizari, University of Texas San Antonio, USA
Nasir Ghani, University of South Florida, USA
Farooq Shaikh, University of South Florida, USA
Elias Bou-Harb, University of Texas San Antonio, USA
Morteza Safaei Pour, San Diego State University, USA
Jorge Crichigno, University of South Carolina, USA
Towards In-Network Semantic Analysis: A Case Study involving Spam Classification
Cyprien Gueyraud, Illinois Institute of Technology, USA
Nik Sultana, Illinois Institute of Technology, USA
Auto-tuning of Hyper-parameters for Detecting Network Intrusions via Meta-learning
Omar Anser, Inria Nancy Grand Est, France
Jérôme François, Inria Nancy Grand Est, France
Isabelle Chrisment, Inria Nancy Grand Est, France
