Nature

Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks

An Intrusion Detection System (IDS) is a type of device that continuously observes system behaviour in promiscuous mode in order to collect network data for further analysis. The NIDS is an essential ...
Nature

A deep multiple self-supervised clustering model based on autoencoder networks

Numerous models for deep clustering have been proposed in recent times, exhibiting remarkable performance in unsupervised learning. However, they often concentrate on the features of the data itself, ...