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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Autors principals:	Mohammed Nasser Al-Andoli, Kok Swee Sim, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Access
Matèries:	Ensemble method malware detection deep learning parallel processing backpropagation algorithm particle swarm optimization
Accés en línia:	https://ieeexplore.ieee.org/document/10187128/
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