Christoph Hardegen

According to our database, Christoph Hardegen authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

Predictive Flow Load Profiling for Intelligent Network Routing Decisions.

Christoph Hardegen

Proceedings of the 14th International Conference on Network of the Future, 2023

Generative Pattern Dissemination for Collaborative Intrusion Detection.

Mike Petersen, Christoph Hardegen, Ulrich Buehler

Proceedings of the 6th Conference on Cloud and Internet of Things, 2023

2022

Multi-step Attack Detection and Mitigation Enhancing In-Network Flow Classification.

Christoph Hardegen, Sebastian Rieger, Timo Geier

Proceedings of the 5th International Conference on Advanced Communication Technologies and Networking, 2022

Intent-Driven Path State Monitoring to Enable Centralized State-Aware Flow Steering.

Christoph Hardegen

Proceedings of the 18th International Conference on Network and Service Management, 2022

Scope-based Flow Monitoring to Improve Traffic Analysis in Programmable Networks.

Christoph Hardegen

Proceedings of the 18th International Conference on Network and Service Management, 2022

2021

A Hierarchical Architecture and Probabilistic Strategy for Collaborative Intrusion Detection.

Christoph Hardegen, Mike Petersen, Chukwuebuka Ezelu, Timo Geier, Sebastian Rieger, Ulrich Buehler

Proceedings of the IEEE Conference on Communications and Network Security, 2021

2020

Predicting Network Flow Characteristics Using Deep Learning and Real-World Network Traffic.

Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger, Alexander Gepperth

IEEE Trans. Netw. Serv. Manag., 2020

Prediction-based Flow Routing in Programmable Networks with P4.

Christoph Hardegen, Sebastian Rieger

Proceedings of the 16th International Conference on Network and Service Management, 2020

2019

A Study of Deep Learning for Network Traffic Data Forecasting.

Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Flow-based Throughput Prediction using Deep Learning and Real-World Network Traffic.

Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger, Alexander Gepperth, Sven Reißmann

Proceedings of the 15th International Conference on Network and Service Management, 2019