An Adaptive Behavioral-Based Incremental Batch Learning Malware Variants Detection Model Using Concept Drift Detection and Sequential Deep Learning

journal contribution

posted on 2024-06-03, 12:00 authored by AA Darem, FA Ghaleb, AA Al-Hashmi, Jemal AbawajyJemal Abawajy, SM Alanazi, AY Al-Rezami

An Adaptive Behavioral-Based Incremental Batch Learning Malware Variants Detection Model Using Concept Drift Detection and Sequential Deep Learning

History

Journal

IEEE Access

Volume

9

Pagination

97180-97196

Location

Piscataway, N.J.

Open access

Yes

Link to full text

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9467300

eISSN

2169-3536

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Institute of Electrical and Electronics Engineers

Usage metrics

Categories

No categories selected

Keywords

Malware variant detection adaptive incremental batch learning concept drift detection deep learning statistical process control 4604 Cybersecurity and privacy Technology

Licence

All Rights Reserved

Exports