Landauer et al., 2022 - Google Patents
A framework for automatic labeling of log datasets from model-driven testbeds for HIDS evaluationLandauer et al., 2022
View PDF- Document ID
- 7680072991408234975
- Author
- Landauer M
- Frank M
- Skopik F
- Hotwagner W
- Wurzenberger M
- Rauber A
- Publication year
- Publication venue
- Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems
External Links
Snippet
Intrusion detection systems are essential for network security. To verify their detection capabilities and facilitate comparison, benchmark log datasets are used to measure evaluation metrics such as accuracy and false alarm rates. Thereby, it is necessary that …
- 238000002372 labelling 0 title abstract description 88
Classifications
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- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1425—Traffic logging, e.g. anomaly detection
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- H04L63/00—Network architectures or network communication protocols for network security
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- H04L63/1416—Event detection, e.g. attack signature detection
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