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Flow-based network traffic generation using Generative Adversarial Networks

Ring, M.; Schlör, D.; Landes, Dieter; Hotho, A. (2019)

Computers & Security 82, S. 156–172.
DOI: 10.1016/j.cose.2018.12.012


Peer Reviewed
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A survey of network-based intrusion detection data sets

Ring, M.; Wunderlich, Sarah; Scheuring, D.; Landes, Dieter; Hotho, A. (2019)

Computers & Security 2019 86, S. 147–167.
DOI: 10.1016/j.cose.2019.06.005


Peer Reviewed
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Better Understanding Fundamental Computer Science Concepts Through Peer Review.

Sedelmaier, Y.; Landes, Dieter (2019)

The Challenges of the Digital Transformation in Education. Advances in Intelligent Systems and Computing 917, S. 64–75.


Peer Reviewed

Clarifying the Effects of Digitalization on (Higher) Education.

Sedelmaier, Y.; Landes, Dieter (2019)

11th International Conference on Education and New Learning Technologies (EDULEARN) 2019, S. 8114–8121.


Peer Reviewed

Comparison of System Call Representations for Intrusion Detection

Wunderlich, Sarah; Ring, M.; Landes, Dieter; Hotho, A. (2019)

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). Advances in Intelligent Systems and Computing 951, S. 14–24.


Peer Reviewed
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A didactical concept for supporting reflection in software engineering education

Engelbrecht, L.; Landes, Dieter; Sedelmaier, Y. (2018)

Proceedings 9th IEEE Global Engineering Education Conference EDUCON 2018, S. 553–560.
DOI: 10.1109/EDUCON.2018.8363278


Peer Reviewed
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Involving Customers in Requirements Engineering Education: Mind the Goals!

Hagel, G.; Müller-Amthor, M.; Landes, Dieter; Sedelmaier, Y. (2018)

Proceedings of the 3rd European Conference of Software Engineering Education ECSEE 2018, S. 113–121.


Peer Reviewed

Detection of slow port scans in flow-based network traffic

Ring, M.; Landes, Dieter; Hotho, A. (2018)

PLOS ONE 2018 13 (9).
DOI: 10.1371/journal.pone.0204507


Open Access Peer Reviewed
 

Frequently, port scans are early indicators of more serious attacks. Unfortunately, the detection of slow port scans in company networks is challenging due to the massive amount of network data. This paper proposes an innovative approach for preprocessing flow-based data which is specifically tailored to the detection of slow port scans. The preprocessing chain generates new objects based on flow-based data aggregated over time windows while taking domain knowledge as well as additional knowledge about the network structure into account. The computed objects are used as input for the further analysis. Based on these objects, we propose two different approaches for detection of slow port scans. One approach is unsupervised and uses sequential hypothesis testing whereas the other approach is supervised and uses classification algorithms. We compare both approaches with existing port scan detection algorithms on the flow-based CIDDS-001 data set. Experiments indicate that the proposed approaches achieve better detection rates and exhibit less false alarms than similar algorithms.

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Active Learning of Software Quality and Project Management

Sedelmaier, Y.; Landes, Dieter (2018)

Proceedings 9th IEEE Global Engineering Education Conference EDUCON 2018, S. 1077–1085.


Peer Reviewed

Digitalisierung, Software Engineering und Bildung im Wechselspiel

Sedelmaier, Y.; Landes, Dieter (2018)

Digitalisierung / Göttingen 2018 (13), S. 145–157.


Peer Reviewed

Innovatives Requirements Engineering – ohne den Menschen?

Sedelmaier, Y.; Landes, Dieter (2018)

Softwaretechnik-Trends 38 (1), S. 35–36.


Peer Reviewed

Systematic evolution of a learning setting for requirements engineering education based on competence-oriented didactics

Sedelmaier, Y.; Landes, Dieter (2018)

Proceedings 9th IEEE Global Engineering Education Conference EDUCON 2018, S. 1068–1076.
DOI: 10.1109/EDUCON.2018.8363348


Peer Reviewed
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Better Understanding Fundamental Computer Science Concepts through Peer Review

Sedelmaier, Y.; Landes, Dieter; Kuhn, Maria (2018)

47nd International Conference on Engineering Pedagogy / 21th International Conference on Interactive Collaborative Learning (ICL) 2018, S. 928–939.


Peer Reviewed

Technical Report CIDDS-001 data set

Ring, Markus; Wunderlich, Sarah; Grüdl, Dominik; Landes, Dieter; Hotho, A. (2017)

Technical Report.


Open Access

IP2Vec: Learning Similarities Between IP Addresses

Ring, M.; Dallmann, A.; Landes, Dieter; Hotho, A. (2017)

17th IEEE International Conference on Data Mining Workshops / Los Alamitos, California 2017, S. 657–666.
DOI: 10.1109/ICDMW.2017.93


Peer Reviewed
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A Toolset for Intrusion and Insider Threat Detection

Ring, M.; Wunderlich, Sarah; Grüdl, Dominik; Landes, Dieter; Hotho, A. (2017)

Data analytics and decision support for cybersecurity / Cham 2017 3, S. 3–31.
DOI: 10.1007/978-3-319-59439-2_1


Peer Reviewed
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Creation of Flow-Based Data Sets for Intrusion Detection

Ring, M.; Wunderlich, Sarah; Grüdl, Dominik; Landes, Dieter; Hotho, A. (2017)

Journal of Information Warfare 16 (4), S. 40–53.


Peer Reviewed

Flow-based benchmark data sets for intrusion detection

Ring, M.; Wunderlich, Sarah; Grüdl, Dominik; Landes, Dieter; Hotho, A. (2017)

Proceedings of the 16th European Conference on Cyber Warfare and Security (ECCWS) 2017, S. 361–369.


Peer Reviewed

Experiences in Teaching and Learning Requirements Engineering on a Sound Didactical Basis

Landes, Dieter; Sedelmaier, Y. (2017)

Proceedings fo the 22nd Conference on Innovation and Technology in Computer Science Education (ITiCSE 2017) 2017, S. 116–121.


Peer Reviewed

Gutes Requirements Engineering kann jeder? Ein mehrstufiges Lehrkonzept für die Ausbildung im Requirements Engineering

Sedelmaier, Y.; Landes, Dieter (2017)

Softwaretechnik-Trends 37 (2), S. 8–9.


Peer Reviewed

Prof. Dr. Dieter Landes


Hochschule Coburg

Fakultät Elektrotechnik und Informatik (FEI)
Friedrich-Streib-Str. 2
96450 Coburg

T 09561317177
dieter.landes[at]hs-coburg.de

ORCID iD: 0000-0002-0741-3540