This paper proposes a novel approach called SCDNN, which combines spectral clustering (SC) and deep neural network (DNN) algorithms.

The development of intrusion detection systems (IDS) that are adapted to allow routers and network defence systems to detect malicious network traffic disguised ...

Oct 8, 2016 · It also provides an effective tool of study and analysis of intrusion detection in large networks.

Abstract: The development of intrusion detection systems (IDS) that are adapted to allow routers and network defence systems to detect malicious network ...

A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks. Sensors 2016, 16, 1701. https://doi.org ...

A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks · An Effective Two-Step Intrusion Detection ...

This paper proposes a novel approach called SCDNN, which combines spectral clustering (SC) and deep neural network (DNN) algor

Ma T, Wang F, Cheng J, Yu Y, Chen X. A hybrid spectral clustering and deep neural network ensemble algorithm for intrusion detection in sensor networks. Sensors ...

This research work proposes a deep learning-based system for hybrid intrusion detection and signature generation of unknown web attacks referred as D-Sign. D- ...