An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection

An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection

Digital networks and systems are susceptible to malicious software (malware) attacks. Deep learning (DL) models have recently emerged as effective methods to classify and detect malware. However, DL models often relies on gradient descent optimization in learning, i.e., the Back-Propagation (BP) alg...

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Bibliographic Details
Main Authors: Mohammed Nasser Al-Andoli, Kok Swee Sim, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Ensemble method
malware detection
deep learning
parallel processing
backpropagation algorithm
particle swarm optimization
Online Access:https://ieeexplore.ieee.org/document/10187128/

Internet

https://ieeexplore.ieee.org/document/10187128/

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