Network Defence Strategy Evaluation: Simulation vs. Live Network
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F17%3A00094471" target="_blank" >RIV/00216224:14610/17:00094471 - isvavai.cz</a>
Výsledek na webu
<a href="http://ieeexplore.ieee.org/document/7987267/" target="_blank" >http://ieeexplore.ieee.org/document/7987267/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/INM.2017.7987267" target="_blank" >10.23919/INM.2017.7987267</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Network Defence Strategy Evaluation: Simulation vs. Live Network
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Network Defence Strategy Evaluation: Simulation vs. Live Network
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/VI20172020070" target="_blank" >VI20172020070: Výzkum nástrojů pro hodnocení kybernetické situace a podporu rozhodování CSIRT týmů při ochraně kritické infrastruktury</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)
ISBN
9783901882890
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
81-88
Název nakladatele
IEEE
Místo vydání
Lisbon
Místo konání akce
Lisbon
Datum konání akce
8. 5. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—