Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data

Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data

In recent years, Ransomware has been a critical threat that attacks smartphones. Ransomware is a kind of malware that blocks the mobile’s system and prevents the user of the infected device from accessing their data until a ransom is paid. Worldwide, Ransomware attacks have led to serious...

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Bibliographic Details
Main Authors: Iman Almomani, Raneem Qaddoura, Maria Habib, Samah Alsoghyer, Alaa Al Khayer, Ibrahim Aljarah, Hossam Faris
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Ransomware
evolutionary algorithms
imbalanced
particle swarm optimization
support vector machines
SMOTE
Online Access:https://ieeexplore.ieee.org/document/9398647/

Internet

https://ieeexplore.ieee.org/document/9398647/

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