Jonas Höchst

Philipps Universität Marburg - Marburg / Germany

Engineering & Technology / Computer Science

AD Scientific Index ID: 4572946

Philipps University of Marburg

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Philipps Universität Marburg

Jonas Höchst's MOST POPULAR ARTICLES

1-) Mind the GAP: Security & Privacy Risks of Contact Tracing Apps

2-) Unsupervised Traffic Flow Classification Using a Neural Autoencoder 42nd Annual IEEE Conference on Local Computer Networks (LCN 2017), 2017

3-) DTN7: An Open-Source Disruption-tolerant Networking Implementation of Bundle Protocol 7 18th International Conference on Ad Hoc Networks and Wireless (AdHoc-Now 2019), 2019

4-) Bird@Edge: Bird Species Recognition at the Edge NETYS 2022: The International Conference on Networked Systems, 2022

5-) An Experimental Evaluation of Delay-Tolerant Networking with Serval 2016 IEEE Global Humanitarian Technology Conference (GHTC), 2016

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