Přehled o publikaci
2024
The Evolution of the CRUSOE Toolset: Enhancing Decision Support in Network Security Management
HUSÁK, Martin; Lukáš SADLEK; Martin HESKO; Vít ŠEBELA; Stanislav ŠPAČEK et al.Základní údaje
Originální název
The Evolution of the CRUSOE Toolset: Enhancing Decision Support in Network Security Management
Autoři
HUSÁK, Martin; Lukáš SADLEK; Martin HESKO; Vít ŠEBELA a Stanislav ŠPAČEK
Vydání
New York, NY, 2024 20th International Conference on Network and Service Management (CNSM), od s. 1-3, 3 s. 2024
Nakladatel
IEEE
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Označené pro přenos do RIV
Ne
Organizace
Ústav výpočetní techniky – Masarykova univerzita – Repozitář
ISBN
979-8-3315-0515-8
ISSN
UT WoS
EID Scopus
Klíčová slova anglicky
decision support;network security management;incident response;orchestration;automation
Návaznosti
EH22_010/0003229, projekt VaV. MUNI/A/1586/2023, interní kód Repo.
Změněno: 1. 4. 2025 00:50, RNDr. Daniel Jakubík
Anotace
V originále
This demo paper presents the recent development of the CRUSOE toolset. CRUSOE enables cyber situational awareness and provides decision support for network security management. The first public version from 2021 used a combination of active and passive network monitoring to enumerate cyber assets and discover their vulnerabilities, visualize the collected data in a dashboard, conduct a risk assessment to recommend the most resilient infrastructure configuration, and facilitate attack mitigation. It also used novel approaches, such as a graph database for storing the data on cyber assets, which essentially became a knowledge graph for network security management. In the recent development, we managed to automate the deployment of CRUSOE via Ansible and Docker. Further, we implemented additional recommender systems and attack impact assessment capabilities and their visualizations. Finally, several sample datasets were created to facilitate the demonstration of the toolset and to enable testing it without one's data.