Van Van Tong, Hanoi University of Science and Technology, Vietnam.
Sami Souihi, Paris-Est Créteil University (UPEC), France.
Hai-Anh Tran, SoICT at HUST, Vietnam.
Abdelhamid Mellouk, IT4H High School Engineering Department, UPEC, France.
Nowadays, the Internet is becoming more and more complex due to an ever-increasing number of network devices, various multimedia services and a prevalence of encrypted traffic.
Therefore, in this context, this book presents a novel efficient multi modular troubleshooting architecture to overcome limitations related to encrypted traffic and high time complexity. This architecture contains five main modules: data collection, anomaly detection, temporary remediation, root cause analysis and definitive remediation. In data collection, there are two sub modules: parameter measurement and traffic classification. This architecture is implemented and validated in a software-defined networking (SDN) environment.
1. State of the Art on Network Troubleshooting.
2. Novel Global Troubleshooting Framework for Encrypted Traffic.
3. Traffic Classification: Novel QUIC Traffic Classifier Based on Convolutional Neural Network.
4. Anomaly Detection.
5. Temporary Remediation: SDN-based Application-aware Segment Routing for Large-scale Networks.
6. Root Cause Analysis and Definitive Remediation.
Van Van Tong is a lecturer at the School of Information and Communication Technology at Hanoi University of Science and Technology, Vietnam. His research interests include blockchain, cyber security, SDN and network troubleshooting.
Sami Souihi, HDR, is an Associate Professor in Computer Science in the N&T Department of Paris-Est Créteil University (UPEC), France, and is part of the LiSSi-TincNET research team. His research focuses on adaptive mechanisms in large-scale dynamic systems, among others.
Hai-Anh Tran is lecturer researcher and Vice-Dean in the Faculty of Computer Engineering, SoICT at HUST, Vietnam. His research interests include computer networks, distributed systems, network security, QoS, QoE and IoT, ranging from the theory of design to implementation.
Abdelhamid Mellouk is a full-time Professor, the Director of the IT4H High School Engineering Department, UPEC, and Head of the TincNET research team in France. He is also the founder of Network Control Research and Curricula activities at UPEC, the current Co President of the French Deep Tech Data Science and Artificial Intelligence Systematic Hub, member of the High Scientific Research and Technology National Council and President of policies and programs commission, IEEE ComSoc CSR TC Award Chair.
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