Title: Self-adaptive SSH Honeypot Model Capable of Reasoning

Year of Publication: Nov - 2013
Page Numbers: 163-168
Authors: Adrian Pauna , Victor Valeriu Patriciu
Conference Name: The Second International Conference on Informatics Engineering & Information Science (ICIEIS2013)
- Malaysia

Abstract:


The increased number of SSH stolen credentials on the “black market” used for targeted attacks proves the opportunity of SSH Honeypots. Corroborated with recent trends in honeypot research area regarding self-adaptive systems, capable of interacting with attackers on their own, leads us to the necessity of self-adaptive SSH Honeypots. Several Artificial Intelligence techniques have been used in order to achieve “adaptability” such as Reinforcement Learning and Game theory. In this paper we propose a model that uses Case Based Reasoning techniques to enforce the adaptive capabilities of a SSH Honeypot.