Cyber Key Terrain Identification Using Adjusted PageRank Centrality

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F24%3A00135177" target="_blank" >RIV/00216224:14610/24:00135177 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-56326-3_21" target="_blank" >http://dx.doi.org/10.1007/978-3-031-56326-3_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-56326-3_21" target="_blank" >10.1007/978-3-031-56326-3_21</a>

Result language
angličtina
Original language name
Cyber Key Terrain Identification Using Adjusted PageRank Centrality
Original language description
The cyber terrain contains devices, network services, cyber personas, and other network entities involved in network operations. Designing a method that automatically identifies key network entities to network operations is challenging. However, such a method is essential for determining which cyber assets should the cyber defense focus on. In this paper, we propose an approach for the classification of IP addresses belonging to cyber key terrain according to their network position using the PageRank centrality computation adjusted by machine learning. We used hill climbing and random walk algorithms to distinguish PageRank’s damping factors based on source and destination ports captured in IP flows. The one-time learning phase on a static data sample allows near-real-time stream-based classification of key hosts from IP flow data in operational conditions without maintaining a complete network graph. We evaluated the approach on a dataset from a cyber defense exercise and on data from the campus network. The results show that cyber key terrain identification using the adjusted computation of centrality is more precise than its original version.
Czech name
—
Czech description
—

Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ICT Systems Security and Privacy Protection. SEC 2023. IFIP Advances in Information and Communication Technology, vol 679.
ISBN
9783031563256
ISSN
1868-4238
e-ISSN
—
Number of pages
14
Pages from-to
293-306
Publisher name
Springer
Place of publication
Cham
Event location
Poznan, Poland
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001294776100021

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