A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks

A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks

The development of intrusion detection systems (IDS) that are adapted to allow routers and network defence systems to detect malicious network traffic disguised as network protocols or normal access is a critical challenge. This paper proposes a novel approach called SCDNN, which combines spectral c...

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Bibliographic Details
Main Authors: Tao Ma, Fen Wang, Jianjun Cheng, Yang Yu, Xiaoyun Chen
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Sensors
Subjects:
intrusion detection system
deep neural network
ensemble model
wireless sensor network
spectral clustering
Online Access:http://www.mdpi.com/1424-8220/16/10/1701

Internet

http://www.mdpi.com/1424-8220/16/10/1701

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