D 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.

Basic information

Original name

The Evolution of the CRUSOE Toolset: Enhancing Decision Support in Network Security Management

Authors

HUSÁK, Martin; Lukáš SADLEK; Martin HESKO; Vít ŠEBELA and Stanislav ŠPAČEK

Edition

New York, NY, 2024 20th International Conference on Network and Service Management (CNSM), p. 1-3, 3 pp. 2024

Publisher

IEEE

Other information

Language

English

Type of outcome

Proceedings paper

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

References:

Marked to be transferred to RIV

No

Organization

Ústav výpočetní techniky – Repository – Repository

ISBN

979-8-3315-0515-8

ISSN

EID Scopus

Keywords in English

decision support;network security management;incident response;orchestration;automation

Links

EH22_010/0003229, research and development project. MUNI/A/1586/2023, interní kód Repo.
Changed: 1/4/2025 00:50, RNDr. Daniel Jakubík

Abstract

In the original language

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.

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