Výsledky vyhľadávania - improved conditional variational autoencoder (ICVAE)

Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network Autor Yang, Yanqing, Zheng, Kangfeng, Wu, Chunhua, Yang, Yixian

“… We propose a novel intrusion detection model that combines an improved conditional variational AutoEncoder (ICVAE…”
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Anomaly based Intrusion Detection to Enhance IoT Devices Security using LSTM and Radial Basis Function Approach Autor Narayana, G. V. L, G, Sharmila, A, Mohaideen, Sathya, S., Vennila, C., Nishant, Neerav

“…The growing prevalence of IoT devices has rendered their security a paramount issue. Intrusion detection is essential for protecting IoT systems from potential…”
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On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples Autor Zhang, Ying, Liu, Qiang

“… on Improved Conditional Variational Autoencoder (ICVAE) and Borderline Synthetic Minority Oversampling Technique (BSM), called ICVAE-BSM…”
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A Comparative Evaluation of Intrusion Detection Systems: ICVAE vs. CVAE Autor Thakur, Vipasha, Vaithiyanathan, Dhandapani, Verma, Preeti, Kaur, Baljit

“…) and an Integrated Conditional Variational Autoencoder with a Deep Neural Network (ICVAE-DNN). The CVAE model embodies a refined methodology leveraging variational autoencoder techniques to discern the underlying patterns within network data…”
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