Complex Networks in Cybersecurity: Applications and Challenges

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F22%3A00127325" target="_blank" >RIV/00216224:14610/22:00127325 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Complex Networks in Cybersecurity: Applications and Challenges

Popis výsledku v původním jazyce

Graph-based data representation is very popular in many research areas, including the field of cybersecurity, in which the community uses the so-called attacks graphs to model the cyber attacks since mid 90'. However, with the increasing complexity of cyber attacks and the protected systems, the attack models are growing and becoming complex networks. In this talk, we will show how complex networks can be used to model the protected systems (including large networks and infrastructures) and how they help in proactive and reactive cyber defense. We will go through several existing approaches and tools (e.g., CyGraph by MITRE, CRUSOE by CSIRT-MU) and discuss the challenges related to the everchanging threat landscape, insufficient or incompatible ontologies, and heterogeneity and frequent unavailability of relevant cybersecurity data that complicate the mining and other advanced analyses.

Název v anglickém jazyce

Complex Networks in Cybersecurity: Applications and Challenges

Popis výsledku anglicky

Graph-based data representation is very popular in many research areas, including the field of cybersecurity, in which the community uses the so-called attacks graphs to model the cyber attacks since mid 90'. However, with the increasing complexity of cyber attacks and the protected systems, the attack models are growing and becoming complex networks. In this talk, we will show how complex networks can be used to model the protected systems (including large networks and infrastructures) and how they help in proactive and reactive cyber defense. We will go through several existing approaches and tools (e.g., CyGraph by MITRE, CRUSOE by CSIRT-MU) and discuss the challenges related to the everchanging threat landscape, insufficient or incompatible ontologies, and heterogeneity and frequent unavailability of relevant cybersecurity data that complicate the mining and other advanced analyses.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů