ikrambenabdelouahab / newborn_malware_detection

Detect next generation of malware using machine learning algorithms

newborn_malware_detection

Detect next generation of malware using machine learning algorithms

This is the implementation of Paper : "A new approach to detect next generation of malware based on machine learning"

We use Malimg database, so you find extracted features in npy files: train_features, test_features and newborn_features. we also provide pretrained models in folder: Trained_models This code was written in Python2.7.

Database split : (24 and 25 are the newborn family in our simulation)

REFERENCEs:

• https://ieeexplore.ieee.org/document/9581625
• https://www.researchgate.net/publication/355917934_A_new_approach_to_detect_next_generation_of_malware_based_on_machine_learning

CITATION: I. Ben Abdel Ouahab, L. Elaachak, Y. A. Alluhaidan and M. Bouhorma, "A new approach to detect next generation of malware based on machine learning," 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2021, pp. 230-235, doi: 10.1109/3ICT53449.2021.9581625.