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Poster: Structural Analysis of Network Telescope Data Using Contrastive Learning and Correlation Clustering

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Contributors

Jannik Presberger - , Chair of Machine Learning for Computer Vision (Author)
Alexander Männel - , Chair of Distributed and Networked Systems (Author)
Maynard Koch - , Chair of Distributed and Networked Systems (Author)
Thomas C. Schmidt - , Hamburg University of Applied Sciences (Author)
Matthias Wählisch - , Chair of Distributed and Networked Systems (Author)
Björn Andres - , Chair of Machine Learning for Computer Vision, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) (Author)

Details

Original language	English
Title of host publication	Proceedings of the 2026 ACM Internet Measurement Conference (IMC ’26)
Pages	1217-1218
Publication status	Published - Oct 2026
Peer-reviewed	Yes

Conference

Title	26th ACM Internet Measurement Conference
Abbreviated title	ACM IMC 2026
Conference number	26
Duration	12 - 16 October 2026
Website	https://conferences.sigcomm.org/imc/2026/
Degree of recognition	International event
Location	Karlsruher Institut für Technologie (KIT)
City	Karlsruhe
Country	Germany

External IDs

ORCID	/0000-0001-5036-9162/work/227510809
ORCID	/0000-0002-3825-2807/work/227514242

Keywords

Research priority areas of TU Dresden

Data-intensive Sciences

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Computer and Communication Technologies

Sustainable Development Goals