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...
Main Authors: | Mohammed Nasser Al-Andoli, Kok Swee Sim, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10187128/ |
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