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...

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Détails bibliographiques
Auteurs principaux: Sathya T., N Keertika, S Shwetha, Upodhyay Deepti, Muzafar Hasanov
Format: Article
Langue:English
Publié: EDP Sciences 2023-01-01
Collection:E3S Web of Conferences
Sujets:
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
Accès en ligne: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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