Antivirus applied to JAR malware detection based on runtime behaviors

Antivirus applied to JAR malware detection based on runtime behaviors

Abstract Java vulnerabilities correspond to 91% of all exploits observed on the worldwide web. The present work aims to create antivirus software with machine learning and artificial intelligence and master in Java malware detection. Within the proposed methodology, the suspected JAR sample is execu...

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Bibliographic Details
Main Authors: Ricardo P. Pinheiro, Sidney M. L. Lima, Danilo M. Souza, Sthéfano H. M. T. Silva, Petrônio G. Lopes, Rafael D. T. de Lima, Jemerson R. de Oliveira, Thyago de A. Monteiro, Sérgio M. M. Fernandes, Edison de Q. Albuquerque, Washington W. A. da Silva, Wellington P. dos Santos
Format: Article
Language:English
Published: Nature Portfolio 2022-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-05921-5

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