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researcher

D. Landes

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.NI1

identity via Semantic Scholar / OpenAlex

most citedA Survey of Network-based Intrusion Detection Data Sets

907 citations · 922 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CR2019★ 15 cited

Comparison of System Call Representations for Intrusion Detection

Sarah Wunderlich, Markus Ring, Dieter Landes +1

Over the years, artificial neural networks have been applied successfully in many areas including IT security. Yet, neural networks can only process continuous input data. This is…

cs.CR2019★ 907 cited

A Survey of Network-based Intrusion Detection Data Sets

Markus Ring, Sarah Wunderlich, Deniz Scheuring +2

Labeled data sets are necessary to train and evaluate anomaly-based network intrusion detection systems. This work provides a focused literature survey of data sets for network-bas…

cs.NI2018

Flow-based Network Traffic Generation using Generative Adversarial Networks

Markus Ring, Daniel Schlör, Dieter Landes +1

Flow-based data sets are necessary for evaluating network-based intrusion detection systems (NIDS). In this work, we propose a novel methodology for generating realistic flow-based…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.