Anomaly Detection in Certificate Transparency Logs
Fuente:
arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866914788605427712 |
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| author | Ostertág, Richard Stanek, Martin |
| author_facet | Ostertág, Richard Stanek, Martin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_05206 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Anomaly Detection in Certificate Transparency Logs Ostertág, Richard Stanek, Martin Cryptography and Security Machine Learning 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. |
| title | Anomaly Detection in Certificate Transparency Logs |
| topic | Cryptography and Security Machine Learning |
| url | https://arxiv.org/abs/2405.05206 |