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ORCIDChristoph Hardegen
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2020 – today
- 2023
[c9]Mike Petersen, Christoph Hardegen
, Ulrich Buehler:
Generative Pattern Dissemination for Collaborative Intrusion Detection. CIoT 2023: 163-170- [c8]Christoph Hardegen:
Predictive Flow Load Profiling for Intelligent Network Routing Decisions. NoF 2023: 62-70 - 2022
- [c7]Christoph Hardegen:
Scope-based Flow Monitoring to Improve Traffic Analysis in Programmable Networks. CNSM 2022: 254-260 - [c6]Christoph Hardegen:
Intent-Driven Path State Monitoring to Enable Centralized State-Aware Flow Steering. CNSM 2022: 352-358 - [c5]Christoph Hardegen, Sebastian Rieger, Timo Geier:
Multi-step Attack Detection and Mitigation Enhancing In-Network Flow Classification. CommNet 2022: 1-10 - 2021
- [c4]Christoph Hardegen, Mike Petersen, Chukwuebuka Ezelu, Timo Geier, Sebastian Rieger, Ulrich Buehler:
A Hierarchical Architecture and Probabilistic Strategy for Collaborative Intrusion Detection. CNS 2021: 128-136 - 2020
- [j1]Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger, Alexander Gepperth:
Predicting Network Flow Characteristics Using Deep Learning and Real-World Network Traffic. IEEE Trans. Netw. Serv. Manag. 17(4): 2662-2676 (2020) - [c3]Christoph Hardegen, Sebastian Rieger:
Prediction-based Flow Routing in Programmable Networks with P4. CNSM 2020: 1-5
2010 – 2019
- 2019
- [c2]Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger, Alexander Gepperth, Sven Reißmann:
Flow-based Throughput Prediction using Deep Learning and Real-World Network Traffic. CNSM 2019: 1-9 - [c1]Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger:
A Study of Deep Learning for Network Traffic Data Forecasting. ICANN (4) 2019: 497-512 - [i1]Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger:
A Study of Deep Learning for Network Traffic Data Forecasting. CoRR abs/1909.04501 (2019)
Coauthor Index
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