platform; including automated penetration tests and risk assesments culminating in a "cyber risk score" out of 1,000, just like a credit score.
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Finding Honeypot Data Clusters Using DBSCAN: Part 2, (Fri, Sep 13th)
published on 2024-09-13 13:39:02 UTC by Content:
In an earlier diary [1], I reviewed how using tools like DBSCAN [2] can be useful to group similar data. I used DBSCAN to try and group similar commands submitted to Cowrie [3] and URL paths submitted to the DShield web honeypot [4]. DBSCAN was very helpful to group similar commands, but it was also very useful when trying to determine whether commands from one honeypot were seen in another. How much overlap in attack data is there between honeypots? Is there any targeting based on the hosting location of the honeypot?