Datasets:
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updates acknowledgement
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README.md
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@@ -52,4 +52,9 @@ The top three PCA components accounted for approximately 61%, 10%, and 6% of the
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## Contact
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Please contact
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## Contact
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Please contact phillip.maraveyias@venafi.com and ecosystem@venafi.com if you have any questions about this dataset.
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## References and Acknowledgement
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The following papers provided inspiration for this project:
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- Li, J.; Zhang, Z.; Guo, C. Machine Learning-Based Malicious X.509 Certificates’ Detection. Appl. Sci. 2021, 11, 2164. https://doi.org/ 10.3390/app11052164
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- Liu, J.; Luktarhan, N.; Chang, Y.; Yu, W. Malcertificate: Research and Implementation of a Malicious Certificate Detection Algorithm Based on GCN. Appl. Sci. 2022,12,4440. https://doi.org/ 10.3390/app12094440
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