Traffic Analysis from Honeypots Sample Clauses

Traffic Analysis from Honeypots. 3.2.1 Statistical Analysis of Attack Data The traffic analysis of honeypots depends on the type and its aim of deployment. Low-interaction honeypots are well suited for monitoring attacks on large unused networks. This data can be used to compile statistics about trends in current attacks on the Internet. Since nearly all systems attacking honeypots are compromised themselves, the attack data can be used to warn affected sites about the compromise. Ideally, this data is automatically exported to Computer Security Incident Response Teams (CSIRTs) to be distributed to the appropriate contact persons. An appropriate format for the data exchange and reporting is X- ARF (see Automatic Alerting and Opening Incidents on page 27). Honeypots like Dionaea are designed to capture malware that is related to attacks. Typically, this malware connects to a botnet C&C server and is remotely controlled over the Internet. Thus, a behavioural analysis of the malware reveals its control channels and helps to pinpoint bad hosts and C&C servers.
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