MEDKOVÁ, Jana, Martin HUSÁK and Martin DRAŠAR. Network Defence Strategy Evaluation: Simulation vs. Live Network. Online. In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Lisbon: IEEE, 2017, p. 81-88. ISBN 978-3-901882-89-0.
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Basic information
Original name Network Defence Strategy Evaluation: Simulation vs. Live Network
Authors MEDKOVÁ, Jana (203 Czech Republic, guarantor, belonging to the institution), Martin HUSÁK (203 Czech Republic, belonging to the institution) and Martin DRAŠAR (203 Czech Republic, belonging to the institution).
Edition Lisbon, 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), p. 81-88, 8 pp. 2017.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study Informatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14610/17:00094471
Organization Ústav výpočetní techniky – Repository – Repository
ISBN 978-3-901882-89-0
Keywords in English game theory;cyber security;simulation;honeypot
Links MUNI/A/0997/2016, interní kód Repo. VI20172020070, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 4/9/2020 03:28.
Abstract
A lot of research has been dedicated to finding an optimal strategy to defend network infrastructure. The proposed methods are usually evaluated using simulations, replayed attacks or testbed environments. However, these evaluation methods may give biased results, because in real life, attackers can follow a suboptimal strategy or react to a defence in an unexpected way. In this paper, we use a network of honeypots as a testing environment for evaluating network defence strategies. The honeypot network provides the opportunity to test a defence strategy against real attackers and is not as time and resource consuming as using white hat hackers. In our experiment, we use two different strategies to defend a group of honeypots in a live network and we compare these results to the results of a simulation with replayed attacks. We show that the results of the strategies in the simulation significantly differ from the results on the honeypot network which implies simulations are not sufficient for strategy evaluation. We also investigate how the attacker adapts to the responses taken by a defence strategy and how this change in behaviour affects the evaluation results.
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