The network is an AutoEncoder network with intermediate layers that are transformer-style encoder blocks. The network is trained to perform two tasks: 1) to predict the data corruption mask, 2) to ...

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Due to the outbreak of recent network attacks, it is necessary to develop a robust network intrusion detection system (NIDS) that can quickly and effectively identify the network attack. Although the ...

Network anomaly detection it is a major concern and challenging area nowadays although it provides effective and efficient mechanism from different types of attack. To enhance the security, the recent ...

Predicting potential microbe-disease associations with graph attention autoencoder, positive-unlabeled learning, and deep neural network Lihong Peng 1,2 † Liangliang Huang 1 † Geng Tian 3 Yan Wu 3 ...