Toward Transparent and Trustworthy Attribution of Cyberthreats
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F25%3A00384543" target="_blank" >RIV/68407700:21240/25:00384543 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.23919/TMA66427.2025.11097010" target="_blank" >https://doi.org/10.23919/TMA66427.2025.11097010</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/TMA66427.2025.11097010" target="_blank" >10.23919/TMA66427.2025.11097010</a>
Alternative languages
Result language
angličtina
Original language name
Toward Transparent and Trustworthy Attribution of Cyberthreats
Original language description
Cyber threat attribution is a critical component of modern cybersecurity, involving the identification of actors behind malicious activities and is defined as the process of identifying the origin, perpetrators, and intent behind a cyberattack. Its importance lies in enabling informed responses, deterring future attacks, and fostering accountability. It is a very dynamic field that faces significant challenges due to the unstable and rapidly evolving nature of cyber threats. In this research, we explore the balance between exactness and verifiability of cyber threat attribution. We define the basis for structuring data from cybersecurity incidents and a methodology for building a formal attribution based on this data, focusing on both of these aspects, which is intended to serve as the starting step to building a robust system for supporting formal attribution.
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
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 9th Network Traffic Measurement and Analysis Conference
ISBN
978-3-903176-74-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
New York
Event location
Kodaň
Event date
Jun 10, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001558830400028