Performance evaluation of unsupervised techniques in cyber-attack anomaly detection-Reference-Cited by-同舟云学术

Performance evaluation of unsupervised techniques in cyber-attack anomaly detection

Published:2019-08-07 Issue:11 Volume:11 Page:4477-4489
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Meira Jorge^ORCID,Andrade Rui,Praça Isabel,Carneiro João,Bolón-Canedo Verónica,Alonso-Betanzos Amparo,Marreiros Goreti

Funder

Xunta de Galicia

Agência Nacional de Inovação

Fundação para a Ciência e a Tecnologia

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-019-01417-9.pdf

Reference35 articles.

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4. Casas P, Mazel J, Owezarski P (2012) Unsupervised network intrusion detection systems: detecting the unknown without knowledge. Comput Commun 35(7):772–783. https://doi.org/10.1016/j.comcom.2012.01.016

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