Bitcoin Heist Ransomware Attack Prediction Using Data Science Process

Bitcoin Heist Ransomware Attack Prediction Using Data Science Process

In recent years, ransomware attacks have become a more significant source of computer penetration. Only general-purpose computing systems with sufficient resources have been harmed by ransomware so far. Numerous ransomware prediction strategies have been published, but more practical machine learnin...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Sathya T., N Keertika, S Shwetha, Upodhyay Deepti, Muzafar Hasanov
Format: Artykuł
Język:English
Wydane: EDP Sciences 2023-01-01
Seria:E3S Web of Conferences
Hasła przedmiotowe:
bitcoin heist
ransomware attack
machine learning
prediction
white
xg boost
voting classifier
montreal cryptxxx
montreal cryptolocker
paduacryptowall
princeton cerber
princeton locky
random forest classifier
logistic regression
Dostęp online:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_04056.pdf

Internet

https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_04056.pdf

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