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Intrusion detection systems (IDS) monitor system logs and network traffic to recognize malicious activities in computer networks.
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M. Du, F. Li, G. Zheng, and V. Srikumar, “Deeplog: Anomaly detection and diagnosis from system logs through deep learning,” in Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security
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F. Skopik, M. Wurzenberger, and M. Landauer, Smart Log Data Analytics: Techniques for Advanced Security Analysis · 2021
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2021
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Accepted for publication
M. Landauer, M. Frank, F. Skopik, W. Hotwagner, M. Wurzenberger, and A. Rauber, “A framework for automatic labeling of log datasets from model-driven testbeds for HIDS evaluation,” in Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems · 2022
Closest in time.
https://doi.org/10.5281/zenodo.5789064
M. Landauer, F. Skopik, M. Frank, W. Hotwagner, M. Wurzenberger, and A. Rauber, “AIT Log Data Set V2.0,” 2022 · 2022
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Accepted for publication
M. Landauer, F. Skopik, M. Wurzenberger, and A. Rauber, “Dealing with security alert flooding: Using machine learning for domain-independent alert aggregation,” Transactions on Privacy and Security · 2022
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