Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis

Author:

Atzmueller Martin1ORCID,Sylvester Sophia2ORCID,Kanawati Rushed3ORCID

Affiliation:

1. Osnabrück University, Germany and German Research Center for Artificial Intelligence (DFKI), Germany

2. Osnabrück University, Germany

3. Université Sorbonne Paris Nord, France

Publisher

ACM

Reference47 articles.

1. Graph based anomaly detection and description: a survey

2. Giovanni Apruzzese , Michele Colajanni , Luca Ferretti , Alessandro Guido , and Mirco Marchetti . 2018 . On the Effectiveness of Machine and Deep Learning for Cyber Security . In Proc. International Conference on Cyber Conflict. 371–390 . Giovanni Apruzzese, Michele Colajanni, Luca Ferretti, Alessandro Guido, and Mirco Marchetti. 2018. On the Effectiveness of Machine and Deep Learning for Cyber Security. In Proc. International Conference on Cyber Conflict. 371–390.

3. Subgroup Discovery;Atzmueller Martin;WIREs DMKD,2015

4. Martin Atzmueller . 2019 . Onto Model-based Anomalous Link Pattern Mining on Feature-Rich Social Interaction Networks . In Proc. WWW 2019 (Companion). Martin Atzmueller. 2019. Onto Model-based Anomalous Link Pattern Mining on Feature-Rich Social Interaction Networks. In Proc. WWW 2019 (Companion).

5. Martin Atzmueller and Rushed Kanawati . 2022 . Explainability in Cyber Security Using Complex Network Analysis: A Brief Methodological Overview . In Proc. European Interdisciplinary Cybersecurity Conference(EICC ’22) . ACM, 49–52. Martin Atzmueller and Rushed Kanawati. 2022. Explainability in Cyber Security Using Complex Network Analysis: A Brief Methodological Overview. In Proc. European Interdisciplinary Cybersecurity Conference(EICC ’22). ACM, 49–52.

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