Pena, Eduardo H.M.
Carvalho, Luiz F.
Barbon Jr., Sylvio
Rodrigues, Joel J.P.C.
Proença Jr., Mario Lemes
Funding for this research was provided by:
National Council for Scientific and Technological Development (308348/2016-8)
FINEP (01.14.0231.00)
This article is maintained by: Elsevier
Article Title: Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment
Journal Title: Information Sciences
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.ins.2017.08.074
Content Type: article
Copyright: © 2017 Elsevier Inc. All rights reserved.