Luiz A. DaSilva

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Camila F. T. Pontes

> Home > Persons > Luiz A. DaSilva

Publications

2025
[j121]
- view
  authority control:
- export record
  dblp key:
  - journals/compsec/SouzaPGGDCM25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/compsec/SouzaPGGDCM25
Manuela M. C. de Souza, Camila F. T. Pontes, João J. C. Gondim, Luís Paulo Faina Garcia, Luiz A. DaSilva, Eduardo F. M. Cavalcante, Marcelo Antonio Marotta:
A novel open set Energy-based Flow Classifier for Network Intrusion Detection. Comput. Secur. 157: 104569 (2025)
2021
[j101]
- view
  authority control:
- export record
  dblp key:
  - journals/tnsm/DeAlmeidaPDBGRM21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tnsm/DeAlmeidaPDBGRM21
Jonathan M. DeAlmeida, Camila F. T. Pontes, Luiz A. DaSilva, Cristiano Bonato Both, João J. C. Gondim, Célia Ghedini Ralha, Marcelo Antonio Marotta:
Abnormal Behavior Detection Based on Traffic Pattern Categorization in Mobile Networks. IEEE Trans. Netw. Serv. Manag. 18(4): 4213-4224 (2021)
[i27]
- view
  - electronic edition @ arxiv.org (open access)
  - details & citations
- export record
  dblp key:
  - journals/corr/abs-2109-11224
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2109-11224
Manuela M. C. de Souza, Camila F. T. Pontes, João J. C. Gondim, Luís Paulo F. Garcia, Luiz A. DaSilva, Marcelo Antonio Marotta:
An Anomaly-based Multi-class Classifier for Network Intrusion Detection. CoRR abs/2109.11224 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.