Knowledge Reformulation and Deception as a Defense Against Automated Cyber Adversaries
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00363587" target="_blank" >RIV/68407700:21230/22:00363587 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.32473/flairs.v35i.130675" target="_blank" >https://doi.org/10.32473/flairs.v35i.130675</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.32473/flairs.v35i.130675" target="_blank" >10.32473/flairs.v35i.130675</a>
Alternative languages
Result language
angličtina
Original language name
Knowledge Reformulation and Deception as a Defense Against Automated Cyber Adversaries
Original language description
Leveraging automated planning has been shown to be advantageous for automating network penetration testing, providing a foundation to generate intelligent approaches to attacking a target system. Unfortunately, this same technology has the potential to be abused by actual attackers, presenting a challenge to defenders. In this paper, we investigate how we can leverage ideas from the deception community to reduce the automated planning capacity of an actual attacker. Our extensive experimental analysis sheds some light on the susceptibility of planning-based attackers to knowledge modifications, potentially yielding to new insights on future techniques for cyber defense.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Florida Artificial Intelligence Research Society Conference
ISBN
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ISSN
2334-0754
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
LibraryPress@UF
Place of publication
Florida
Event location
Florida
Event date
May 15, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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