DarkNOC: dashboard for honeypot management

  • Authors:
  • Bertrand Sobesto;Michel Cukier;Matti Hiltunen;Dave Kormann;Gregg Vesonder;Robin Berthier

  • Affiliations:
  • Clark School of Engineering, University of Maryland, College Park, MD;Clark School of Engineering, University of Maryland, College Park, MD;AT&T Labs Research, Florham Park, NJ;AT&T Labs Research, Florham Park, NJ;AT&T Labs Research, Florham Park, NJ;Coordinated Science Laboratory, Information Trust Institute, University of Illinois, Urbana-Champaign, IL

  • Venue:
  • LISA'11 Proceedings of the 25th international conference on Large Installation System Administration
  • Year:
  • 2011

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Abstract

Protecting computer and information systems from security attacks is becoming an increasingly important task for system administrators. Honeypots are a technology often used to detect attacks and collect information about techniques and targets (e.g., services, ports, operating systems) of attacks. However, managing a large and complex network of honeypots becomes a challenge given the amount of data collected as well as the risk that the honeypots may become infected and start attacking other machines. In this paper, we present DarkNOC, a management and monitoring tool for complex honeynets consisting of different types of honeypots as well as other data collection devices. DarkNOC has been actively used to manage a honeynet consisting of multiple subnets and hundreds of IP addresses. This paper describes the architecture and a number of case studies demonstrating the use of DarkNOC.