Enhancing Media Literacy in Higher Education
Sedelmaier, Yvonne; Erculei, E.; Landes, Dieter (2022)
Proc. 25th International Conference on Interactive Collaborative Learning / 51st Int. Conf. on Engineering Pedagogy (ICL2022) 2022, 1145-1154.
Peer Reviewed
Digitalisation affects all areas of our private and professional lives, posing new requirements to cope with new technologies and the possibilities they offer. New competences are needed for mastering these challenges. Consequently, digital transition affects learning substantially. One of the competences that gain increasing importance through digital transition is media literacy. This paper tries to answer the question of how we can devise learning settings that foster media literacy in higher education. It does so by analyzing media literacy itself on the one hand, and learning settings in higher education which address media literacy on the other hand. Key findings are that media literacy is not precisely
characterized yet and that learning settings often do not address media literacy as a main competence goal. To that end, recommendations for developing suitable competence-oriented learning settings in media literacy education at universities are given.
One Size Fits All? Future Skills in Higher Education – Lessons Learned
Sedelmaier, Yvonne; Erculei, E.; Landes, Dieter (2022)
Proc. 14th International Conference on Education and New Learning Technologies (EDULEARN 22) 2022, 6793-6803.
Peer Reviewed
This paper will focus on future skills and outline the needs of universities to adapt their learning concepts to new requirements. It discusses challenges for universities during this adaption process, lessons learned concerning the integration of future skills in study programs, and proposes some solutions to overcome these deficiencies.
Malware Detection on Windows Audit Logs Using LSTMs
Ring, M.; Schlör, S.; Wunderlich , D.; Landes, Dieter; Hotho, A. (2021)
Computers and Security 109, 1-12.
DOI: 10.1016/j.cose.2021.102389
Peer Reviewed
How to design a competence-oriented study program for data scientists?
Sedelmaier, Yvonne; Landes, Dieter; Erculei, E. (2021)
IEEE Global Engineering Education Conference (EDUCON 2021), 1582-1586.
DOI: 10.1109/EDUCON46332.2021.9453949
Open Access Peer Reviewed
Totally Different and yet so Alike: Three Concepts to Use Scrum in Higher Education
Klopp, M.; Gold-Veerkamp, C.; Abke, J.; Borgeest, K.; Reuter, R.; Jahn, S.; Mottok, J.; Sedelmaier, Yvonne; Lehmann, Alexander; Landes, Dieter (2020)
Klopp, M.; Gold-Veerkamp, C.; Abke, J.; Borgeest, K.; Reuter, R.; Jahn, S.; Mottok, J....
Proceedings for the 4th European Conference on Software Engineering Education (ECSEE 2020) / New York, USA 2020, 12–21.
DOI: 10.1145/3396802.3396817
Peer Reviewed
Insights in Students’ Problems during UML Modelling.
Reuter, R.; Stark, T.; Sedelmaier, Yvonne; Landes, Dieter; Mottok, J.; Wolff, C. (2020)
Proceedings of the IEEE Global Engineering Education Conference (EDUCON 2020) 2020, 592–600.
DOI: 10.1109/EDUCON45650.2020.9125110
About the Effectiveness of Different Game Design Elements for an Introductory Programming Course.
Schwarzmann, Andreas; Landes, Dieter; Sedelmaier, Yvonne (2020)
49th International Conference on Engineering Pedagogy / 23rd International Conference on Interactive Collaborative Learning (ICL). 2020, 552–562.
Peer Reviewed
Analyzing Challenges in Software Engineering Capstone Projects
Sedelmaier, Yvonne; Landes, Dieter (2020)
ICSEA 2020 The Fifteenth International Conference on Software Engineering Advances 2020, 135–140.
Peer Reviewed
Neun Jahre EVELIN – Erkenntnisse und Perspektiven.
Sedelmaier, Yvonne; Landes, Dieter (2020)
Didaktik-Nachrichten (DiNa) 2020 12, 32–39.
Peer Reviewed
Using Learning Styles to Accommodate for Heterogeneous Groups of Learners in Software Engineering
Waibel, Nico; Sedelmaier, Yvonne; Landes, Dieter (2020)
In Proc. 11th IEEE Global Engineering Education Conference (EDUCON 2020), Porto, Portugal
2020, 819–826.
DOI: 10.1109/EDUCON45650.2020.9125233
Peer Reviewed
Impact of Generative Adversarial Networks on NetFlow-Based Traffic Classification
Wolf, Maximilian; Ring, M.; Landes, Dieter (2020)
13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) / Cham 2020 (1267), 393–404.
Peer Reviewed
The Impact of Different System Call Representations on Intrusion Detection
Wunderlich, Sarah; Ring, M.; Landes, Dieter; Hotho, A. (2020)
Logic Journal of the IGPL 2020.
DOI: 10.1093/jigpal/jzaa058
Peer Reviewed
Flow-based network traffic generation using Generative Adversarial Networks
Ring, M.; Schlör, D.; Landes, Dieter; Hotho, A. (2019)
Computers & Security 82, 156–172.
DOI: 10.1016/j.cose.2018.12.012
Peer Reviewed
A survey of network-based intrusion detection data sets
Ring, M.; Wunderlich, Sarah; Scheuring, D.; Landes, Dieter; Hotho, A. (2019)
Computers & Security 2019 86, 147–167.
DOI: 10.1016/j.cose.2019.06.005
Peer Reviewed
Better Understanding Fundamental Computer Science Concepts Through Peer Review
Sedelmaier, Yvonne; Landes, Dieter (2019)
The Challenges of the Digital Transformation in Education. Advances in Intelligent Systems and Computing 917, 64–75.
Peer Reviewed
Clarifying the Effects of Digitalization on (Higher) Education.
Sedelmaier, Yvonne; Landes, Dieter (2019)
11th International Conference on Education and New Learning Technologies (EDULEARN) 2019, 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, 14–24.
Peer Reviewed
A didactical concept for supporting reflection in software engineering education
Engelbrecht, L.; Landes, Dieter; Sedelmaier, Yvonne (2018)
Proceedings 9th IEEE Global Engineering Education Conference EDUCON 2018, 553–560.
DOI: 10.1109/EDUCON.2018.8363278
Peer Reviewed
Involving Customers in Requirements Engineering Education: Mind the Goals!
Hagel, G.; Müller-Amthor, M.; Landes, Dieter; Sedelmaier, Yvonne (2018)
Proceedings of the 3rd European Conference of Software Engineering Education ECSEE 2018, 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.
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