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

Abdulbasit A. Darem; Fuad A. Ghaleb; Asma A. Al-Hashmi; Jemal H. Abawajy; Sultan M. Alanazi; Afrah Y. Al-Rezami

doi:10.1109/ACCESS.2021.3093366

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

Abdulbasit A. Darem^*
, Fuad A. Ghaleb
, Asma A. Al-Hashmi
, Jemal H. Abawajy
, Sultan M. Alanazi
, Afrah Y. Al-Rezami

^*Corresponding author for this work

Northern Borders University
Faculty of Engineering
Deakin University
Prince Sattam Bin Abdulaziz University

Research output: Contribution to journal › Article › peer-review

79 Citations (SciVal)

Original language	English
Article number	9467300
Pages (from-to)	97180-97196
Number of pages	17
Journal	IEEE Access
Volume	9
DOIs	https://doi.org/10.1109/ACCESS.2021.3093366 https://doi.org/10.1109/ACCESS.2021.3093366
Publication status	Published (VoR) - 2021

Keywords

adaptive incremental batch learning
concept drift detection
deep learning
Malware variant detection
statistical process control

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Darem, A. A., Ghaleb, F. A., Al-Hashmi, A. A., Abawajy, J. H., Alanazi, S. M., & Al-Rezami, A. Y. (2021). An Adaptive Behavioral-Based Incremental Batch Learning Malware Variants Detection Model Using Concept Drift Detection and Sequential Deep Learning. IEEE Access, 9, 97180-97196. Article 9467300. https://doi.org/10.1109/ACCESS.2021.3093366, https://doi.org/10.1109/ACCESS.2021.3093366

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keywords = "adaptive incremental batch learning, concept drift detection, deep learning, Malware variant detection, statistical process control",

author = "Darem, \{Abdulbasit A.\} and Ghaleb, \{Fuad A.\} and Al-Hashmi, \{Asma A.\} and Abawajy, \{Jemal H.\} and Alanazi, \{Sultan M.\} and Al-Rezami, \{Afrah Y.\}",

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doi = "10.1109/ACCESS.2021.3093366",

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Darem, AA, Ghaleb, FA, Al-Hashmi, AA, Abawajy, JH, Alanazi, SM & Al-Rezami, AY 2021, 'An Adaptive Behavioral-Based Incremental Batch Learning Malware Variants Detection Model Using Concept Drift Detection and Sequential Deep Learning', IEEE Access, vol. 9, 9467300, pp. 97180-97196. https://doi.org/10.1109/ACCESS.2021.3093366, https://doi.org/10.1109/ACCESS.2021.3093366

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T1 - An Adaptive Behavioral-Based Incremental Batch Learning Malware Variants Detection Model Using Concept Drift Detection and Sequential Deep Learning

AU - Darem, Abdulbasit A.

AU - Ghaleb, Fuad A.

AU - Al-Hashmi, Asma A.

AU - Abawajy, Jemal H.

AU - Alanazi, Sultan M.

AU - Al-Rezami, Afrah Y.

PY - 2021

Y1 - 2021

KW - adaptive incremental batch learning

KW - concept drift detection

KW - deep learning

KW - Malware variant detection

KW - statistical process control

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M3 - Article

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JO - IEEE Access

JF - IEEE Access

M1 - 9467300

ER -

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

Keywords

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