George Mason University
Honeypot has been an invaluable tool for the detection and analysis of network-based attacks by either human intruders or automated malware in the wild. The insights obtained by deploying honeypots, especially high-interaction ones, largely rely on the monitoring capability on the honeypots. In practice, based on the location of sensors, honeypots can be monitored either internally or externally. Being deployed inside the monitored honeypots, internal sensors are able to provide a semantic-rich view on various aspects of system dynamics (e.g., system calls). However, their very internal existence makes them visible, tangible, and even sub-vertible to attackers after break-ins. From another perspective, existing external honeypot sensors (e.g., network sniffers) could be made invisible to the monitored honeypot.