Open AccessZeVigilante: Detecting Zero-Day Malware Using Machine Learning and Sandboxing Analysis Techniques
Author(s) -
Fahd Alhaidari,
Nouran Abu Shaib,
Maram Alsafi,
Haneen Alharbi,
Majd Alawami,
Reem Aljindan,
Atta Rahman,
Rachid Zagrouba
Publication year - 2022
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2022/1615528
Subject(s) - malware , computer science , random forest , machine learning , artificial intelligence , decision tree , naive bayes classifier , support vector machine , sandbox (software development) , zero (linguistics) , software , convolutional neural network , evasion (ethics) , data mining , artificial neural network , computer security , operating system , linguistics , philosophy , immune system , immunology , biology
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