Aristide T.-J. Akem

According to our database, Aristide T.-J. Akem authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning.

Aristide Tanyi-Jong Akem, Guillaume Fraysse, Marco Fiore

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Towards Data-Driven Management of Mobile Networks through User Plane Inference.

Aristide Tanyi-Jong Akem, Marco Fiore

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Evaluating the Impact of Flow Length on the Performance of In-Switch Inference Solutions.

Michele Gucciardo, Beyza Bütün, Aristide Tanyi-Jong Akem, Marco Fiore

Proceedings of the IEEE INFOCOM 2024, 2024

Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches.

Aristide Tanyi-Jong Akem, Beyza Bütün, Michele Gucciardo, Marco Fiore

Proceedings of the IEEE INFOCOM 2024, 2024

Towards Real-Time Intrusion Detection in P4-Programmable 5G User Plane Functions.

Aristide Tanyi-Jong Akem, Marco Fiore

Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

Ultra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart Grids.

Aristide Tanyi-Jong Akem, Michele Gucciardo, Marco Fiore

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023

Showcasing In-Switch Machine Learning Inference.

Aristide Tanyi-Jong Akem, Beyza Bütün, Michele Gucciardo, Marco Fiore

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Fast Detection of Cyberattacks on the Metaverse through User-plane Inference.

Beyza Bütün, Aristide Tanyi-Jong Akem, Michele Gucciardo, Marco Fiore

Proceedings of the IEEE International Conference on Metaverse Computing, 2023

Demonstrating Flow-Level In-Switch Inference.

Michele Gucciardo, Aristide Tanyi-Jong Akem, Beyza Bütün, Marco Fiore

Proceedings of the IEEE INFOCOM 2023, 2023

Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests.

Aristide Tanyi-Jong Akem, Michele Gucciardo, Marco Fiore

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Henna: hierarchical machine learning inference in programmable switches.

Aristide Tanyi-Jong Akem, Beyza Bütün, Michele Gucciardo, Marco Fiore

Proceedings of the 1st International Workshop on Native Network Intelligence, 2022

2020

A Machine Learning Approach to Temporal Traffic-Aware Energy-Efficient Cellular Networks.

Aristide T.-J. Akem, Edwin Mugume

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020