Optimizing Honeypot Strategies Against Dynamic Lateral Movement Using Partially Observable Stochastic Games
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332702" target="_blank" >RIV/68407700:21230/19:00332702 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.cose.2019.101579" target="_blank" >https://doi.org/10.1016/j.cose.2019.101579</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cose.2019.101579" target="_blank" >10.1016/j.cose.2019.101579</a>
Alternative languages
Result language
angličtina
Original language name
Optimizing Honeypot Strategies Against Dynamic Lateral Movement Using Partially Observable Stochastic Games
Original language description
Partially observable stochastic games (POSGs) are a general game-theoretic model for capturing dynamic interactions where players have partial information. The existing algorithms for solving subclasses of POSGs have theoretical guarantees for converging to approximate optimal strategies, however, their scalability is limited and they cannot be directly used to solve games of realistic sizes. In our problem, the attacker uses lateral movement through the network in order to reach a specific host, while the defender wants to discover the attacker by dynamically reallocating honeypots. We demonstrate that restricting to a specific domain allows us to substantially improve existing algorithms: (1) we formulate a compact representation of uncertainty the defender faces, (2) we exploit the incremental strategy-generation method that over iterations expands the possible actions for players. The experimental evaluation shows that our novel algorithms scale several orders of magnitude better compared to the existing state of the art.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers & Security
ISSN
0167-4048
e-ISSN
1872-6208
Volume of the periodical
87
Issue of the periodical within the volume
November
Country of publishing house
GB - UNITED KINGDOM
Number of pages
15
Pages from-to
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UT code for WoS article
000494048500012
EID of the result in the Scopus database
2-s2.0-85070920708