Markus Ring

Orcid: 0000-0002-6348-5717

According to our database1, Markus Ring authored at least 16 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
The Impact of Different System Call Representations on Intrusion Detection.
Log. J. IGPL, 2022

On Learning Hierarchical Embeddings from Encrypted Network Traffic.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

2021
Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining.
PhD thesis, 2021

Malware detection on windows audit logs using LSTMs.
Comput. Secur., 2021

2020
iNALU: Improved Neural Arithmetic Logic Unit.
Frontiers Artif. Intell., 2020

Financial Fraud Detection with Improved Neural Arithmetic Logic Units.
Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Impact of Generative Adversarial Networks on NetFlow-Based Traffic Classification.
Proceedings of the 13th International Conference on Computational Intelligence in Security for Information Systems, 2020

2019
A survey of network-based intrusion detection data sets.
Comput. Secur., 2019

Flow-based network traffic generation using Generative Adversarial Networks.
Comput. Secur., 2019

Comparison of System Call Representations for Intrusion Detection.
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019

2017
IP2Vec: Learning Similarities Between IP Addresses.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
A presentation framework for programming in programing lectures.
Proceedings of the 2016 IEEE Global Engineering Education Conference, 2016

2015
ConDist: A Context-Driven Categorical Distance Measure.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Automatic Threshold Calculation for the Categorical Distance Measure ConDist.
Proceedings of the LWA 2015 Workshops: KDML, 2015

2014
Combination of statistical and semantic data sources for the improvement of software engineering courses (Vision Paper).
Proceedings of the 7th International Conference on Educational Data Mining, 2014


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