Anomaly Detection in Certificate Transparency Logs
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Abstract (arXiv)
We propose an anomaly detection technique for X.509 certificates utilizing Isolation Forest. This method can be beneficial when compliance testing with X.509 linters proves unsatisfactory, and we seek to identify anomalies beyond standards compliance. The technique is validated on a sample of certificates from Certificate Transparency logs.
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- 2019PyOD: A Python Toolbox for Scalable Outlier Detectioncited by 222
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