Ransomware dataset based on dynamic analysis


Abstract:

Ransomware attacks have become a serious threat to the security of information worldwide, so that the scientific community makes great efforts to detect and prevent this type of attack. A fundamental part of this process is the collection of attack information through tools such as Cuckoo Sandbox. Currently, there are no public databases with information on this type of attack, or failing that, they are not described in detail. In this context, this work proposes the creation of a public Dataset and indicates the parameters that have been selected. A statistical analysis of the selected characteristics such as network behavior and use of processes of the victim system during the infection phase of a system (Windows XP and Windows 7) is presented. Finally, the information is processed, and a Dataset that associates the five samples of ransomware used (CryptoLocker, CryptoWall, PetrWrap, Petya and WannaCry) is created.

Año de publicación:

2019

Keywords:

  • Dataset
  • Analysis
  • Registry keys
  • processes
  • ransomware

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Análisis de datos
  • Ciencias de la computación

Áreas temáticas de Dewey:

  • Programación informática, programas, datos, seguridad
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 9: Industria, innovación e infraestructura
  • ODS 17: Alianzas para lograr los objetivos
  • ODS 8: Trabajo decente y crecimiento económico
Procesado con IAProcesado con IA