POSTER: Dragging Attackers to Honeypots for Effective Analysis of Cybernetic Threats



Year of publication 2014
Type R&D Presentation
MU Faculty or unit

Institute of Computer Science

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Description With the rising number of cyber threats in communication networks, there is a demand for attack analysis and the identification of new threats. Honeypots, tools for attack analysis and zero-day exploit discovery, are passive in waiting for an attacker. This paper proposes a novel approach to the effective utilization of honeypots based on cooperation between honeypots and the network in which they are deployed. We propose a framework for recognition of attacks in their early phase and dragging the network traffic to a honeypot before the attack causes any harm. We use flow-based network monitoring to detect initial phases of the attacks and propose prediction of the later phases of the attack. Malicious network traffic will be redirected to a honeypot for further analysis using a concept of a network funnel.
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