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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Detalles Bibliográficos
Autores principales: Ma, Tao, Wang, Fen, Cheng, Jianjun, Yu, Yang, Chen, Xiaoyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087489/
https://www.ncbi.nlm.nih.gov/pubmed/27754380
http://dx.doi.org/10.3390/s16101701

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087489/
https://www.ncbi.nlm.nih.gov/pubmed/27754380
http://dx.doi.org/10.3390/s16101701

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