Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00380664" target="_blank" >RIV/68407700:21230/24:00380664 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/EuroSPW61312.2024.00017" target="_blank" >https://doi.org/10.1109/EuroSPW61312.2024.00017</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EuroSPW61312.2024.00017" target="_blank" >10.1109/EuroSPW61312.2024.00017</a>
Alternative languages
Result language
angličtina
Original language name
Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation
Original language description
Understanding cybercrime communications is paramount for cybersecurity defence. This often involves translating communications into English for processing, interpreting, and generating timely intelligence. The problem is that translation is hard. Human translation is slow, expensive, and scarce. Machine translation is inaccurate and biased. We propose using fine-tuned Large Language Models (LLM) to generate translations that can accurately capture the nuances of cybercrime language. We apply our technique to public chats from the NoName057(16) Russian-speaking hacktivist group. Our results show that our fine-tuned LLM model is better, faster, more accurate, and able to capture nuances of the language. Our method shows it is possible to achieve high-fidelity translations and significantly reduce costs by a factor ranging from 430 to 23,000 compared to a human translator.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VJ02010020" target="_blank" >VJ02010020: AI-Dojo: Multiagent Testbed for Research and Testing of AI-driven Cybersecurity Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
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 - 9th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2024
ISBN
979-8-3503-6729-4
ISSN
2768-0649
e-ISSN
2768-0657
Number of pages
9
Pages from-to
91-99
Publisher name
IEEE Computer Society
Place of publication
Cannes
Event location
Vídeň
Event date
Jul 8, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001302657400011