Nature

A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder

Network traffic anomaly detection, as an effective analysis method for network security, can identify differentiated traffic information and provide secure operation in complex and changing network ...
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 ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...