Ransomware Detection System Based on Machine Learning
In every day, there is a great growth of the Internet and smart devices connected to the network. On the other hand, there is an increasing in number of malwares that attacks networks, devices, systems and apps. One of the biggest threats and newest attacks in cybersecurity is Ransom Software (Ranso...
Guardado en:
Autores principales: | Omar Ahmed, Omar Al-Dabbagh |
---|---|
Formato: | article |
Lenguaje: | AR EN |
Publicado: |
College of Education for Pure Sciences
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6ba065d614084de5b410b21616fcf49c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Hybrid-Based Analysis Impact on Ransomware Detection for Android Systems
por: Rana Almohaini, et al.
Publicado: (2021) -
Android Malware Detection Using Machine Learning with Feature Selection Based on the Genetic Algorithm
por: Jaehyeong Lee, et al.
Publicado: (2021) -
Asynchronous Peer-to-Peer Federated Capability-Based Targeted Ransomware Detection Model for Industrial IoT
por: Muna Al-Hawawreh, et al.
Publicado: (2021) -
Revisión sobre propagación de ransomware en sistemas operativos Windows
por: José Moreno, et al.
Publicado: (2020) -
DroidEnsemble: Detecting Android Malicious Applications With Ensemble of String and Structural Static Features
por: Wei Wang, et al.
Publicado: (2018)