The Road Towards Autonomous Cybersecurity Agents: Remedies for Simulation Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00135174" target="_blank" >RIV/00216224:14330/24:00135174 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-54129-2_43" target="_blank" >http://dx.doi.org/10.1007/978-3-031-54129-2_43</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-54129-2_43" target="_blank" >10.1007/978-3-031-54129-2_43</a>
Alternative languages
Result language
angličtina
Original language name
The Road Towards Autonomous Cybersecurity Agents: Remedies for Simulation Environments
Original language description
One of the fundamental challenges in developing autonomous cybersecurity agents (AICA) is providing them with appropriate training environments for skills acquisition and evaluation. Current reinforcement learning (RL) algorithms rely on myriads of training runs to instill proper behavior, and this is reasonably achievable only within a simulated environment. In this paper, we explore the topic of simulation models and environments for RL and present an assessment framework to compare simulation models designed for simulating cyberattack scenarios. We examine four existing simulation tools, including a new one by the authors of the paper, and discuss their properties, particularly in terms of deployability, to support RL-based AICA. In the example of complex scenarios, we compare the two most sophisticated simulation tools and discuss their strengths.
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
<a href="/en/project/VJ02010020" target="_blank" >VJ02010020: AI-Dojo: Multiagent Testbed for Research and Testing of AI-driven Cybersecurity Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
COMPUTER SECURITY. ESORICS 2023 INTERNATIONAL WORKSHOPS, CPS4CIP, PT II
ISBN
9783031541285
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
738-749
Publisher name
Springer Nature Switzerland AG
Place of publication
BERLIN
Event location
The Haague
Event date
Sep 28, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001212380000033