Personal information

Activities

Employment (1)

Fulda University of Applied Sciences: Fulda, Hesse, DE

2018-08 to 2023-06 | Research Associate and PhD Student (Applied Computer Science)
Employment
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Christoph Hardegen

Education and qualifications (3)

Fulda University of Applied Sciences: Fulda, Hesse, DE

2019-02 to 2024-11 | Doctor rerum naturalium (Dr. rer. nat.) (Applied Computer Science)
Education
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Christoph Hardegen

Fulda University of Applied Sciences: Fulda, Hesse, DE

2015-10 to 2018-03 | Master of Science (Applied Computer Science)
Education
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Christoph Hardegen

Fulda University of Applied Sciences: Fulda, Hesse, DE

2012-10 to 2015-09 | Bachelor of Science (Applied Computer Science)
Education
Source: Self-asserted source
Christoph Hardegen

Works (9)

Generative Pattern Dissemination for Collaborative Intrusion Detection

IEEE Conference on Cloud and Internet of Things (CIoT)
2023-03 | Conference paper
Contributors: Mike Petersen; Christoph Hardegen; Ulrich Buehler
Source: Self-asserted source
Christoph Hardegen

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

IEEE International Conference on Advanced Communication Technologies and Networking (CommNet)
2022-12 | Conference paper
Contributors: Christoph Hardegen; Sebastian Rieger; Timo Geier
Source: Self-asserted source
Christoph Hardegen

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

IEEE International Conference on Network and Service Management (CNSM)
2022-10 | Conference paper
Contributors: Christoph Hardegen
Source: Self-asserted source
Christoph Hardegen

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

IEEE International Conference on Network and Service Management (CNSM)
2022-10 | Conference paper
Contributors: Christoph Hardegen
Source: Self-asserted source
Christoph Hardegen

A Hierarchical Architecture and Probabilistic Strategy for Collaborative Intrusion Detection

IEEE Conference on Communications and Network Security (CNS)
2021-10 | Conference paper
Contributors: Christoph Hardegen; Mike Petersen; Chukwuebuka Ezelu; Timo Geier; Sebastian Rieger; Ulrich Buehler
Source: Self-asserted source
Christoph Hardegen

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

IEEE Transactions on Network and Service Management
2020-12 | Journal article | Author
Contributors: Christoph Hardegen; Benedikt Pfülb; Sebastian Rieger; Alexander Gepperth
Source: Self-asserted source
Christoph Hardegen

Prediction-based Flow Routing in Programmable Networks with P4

IEEE International Conference on Network and Service Management (CNSM)
2020-11 | Conference paper
Contributors: Christoph Hardegen; Sebastian Rieger
Source: Self-asserted source
Christoph Hardegen

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

IEEE International Conference on Network and Service Management (CNSM)
2019-10 | Conference paper
Contributors: Christoph Hardegen; Benedikt Pfulb; Sebastian Rieger; Alexander Gepperth; Sven Reismann
Source: Self-asserted source
Christoph Hardegen

A Study of Deep Learning for Network Traffic Data Forecasting

International Conference on Artificial Neural Networks (ICANN)
2019-09 | Conference paper
Contributors: Benedikt Pfülb; Christoph Hardegen; Alexander Gepperth; Sebastian Rieger
Source: Self-asserted source
Christoph Hardegen