Nearest cluster-based intrusion detection through convolutional neural networks

Building an Effective Intrusion Detection System Using the Modified Density Peak Clustering Algorithm and Deep Belief Networks

(2019) Yanqing Yang et al.   Applied Sciences-Basel

Shallow neural network with kernel approximation for prediction problems in highly demanding data networks

(2019) Manuel Lopez-Martin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Distributed attack detection scheme using deep learning approach for Internet of Things

(2018) Abebe Abeshu Diro et al.   Future Generation Computer Systems-The International Journal of eScience

Clustering Approach Based on Mini Batch Kmeans for Intrusion Detection System Over Big Data

(2018) Kai Peng et al.   IEEE Access

Enhanced Network Anomaly Detection Based on Deep Neural Networks

(2018) Sheraz Naseer et al.   IEEE Access

Fuzziness based semi-supervised learning approach for intrusion detection system

(2017) Rana Aamir Raza Ashfaq et al.   INFORMATION SCIENCES

Unsupervised feature extraction with autoencoder trees

(2017) Ozan İrsoy et al.   NEUROCOMPUTING

Deep learning

(2015) Yann LeCun et al.   NATURE

PCA filtering and probabilistic SOM for network intrusion detection

(2015) Eduardo De la Hoz et al.   NEUROCOMPUTING