Toward a Taxonomy and Multi-label Dataset for Malware Classification

Rolando Sanchez-Fraga, Raul Acosta-Bermejo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The amount of malicious software detected in the wild have greatly increased over the years, same as their complexity and ability to avoid detection mechanisms and techniques improved. To aid in identifying and defending against this malware, we propose a multi-dimensional and multi-level malware taxonomy, a multi-label classification scheme, a multi-label malware dataset and a tool to automate the process of analyzing, labeling, preprocessing and presentation. Alongside this, we discuss the current state of each element and future work.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2022 10th International Conference in Software Engineering Research and Innovation, CONISOFT 2022
EditoresReyes Juarez-Ramirez, Carlos Alberto Fernandez y Fernandez, Hector G. Perez-Gonzalez, Hector G. Perez-Gonzalez, Alan Ramirez-Noriega, Samantha Paulina Jimenez Calleros, Cesar Arturo Guerra-Garcia, Guillermo Licea Sandoval
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas150-157
Número de páginas8
ISBN (versión digital)9781665461269
DOI
EstadoPublicada - 2022
Evento10th International Conference in Software Engineering Research and Innovation, CONISOFT 2022 - Ciudad Modelo, San Jose Chiapa, México
Duración: 24 oct. 202228 oct. 2022

Serie de la publicación

NombreProceedings - 2022 10th International Conference in Software Engineering Research and Innovation, CONISOFT 2022

Conferencia

Conferencia10th International Conference in Software Engineering Research and Innovation, CONISOFT 2022
País/TerritorioMéxico
CiudadCiudad Modelo, San Jose Chiapa
Período24/10/2228/10/22

Huella

Profundice en los temas de investigación de 'Toward a Taxonomy and Multi-label Dataset for Malware Classification'. En conjunto forman una huella única.

Citar esto