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Cited by 16Network Security and Intrusion DetectionArtificial Immune Systems ApplicationsNetwork Packet Processing and Optimization

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Detection of Anomalies in Large-Scale Cyberattacks Using Fuzzy Neural Networks

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de Campos Souza, Paulo Vitor, Guimarães, Augusto Junio, Rezende, Thiago Silva, Silva Araujo, Vinicius Jonathan, Araujo, Vanessa Souza·2020·AI
DOI 10.3390/ai1010005
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Abstract

The fuzzy neural networks are hybrid structures that can act in several contexts of the pattern classification, including the detection of failures and anomalous behaviors. This paper discusses the use of an artificial intelligence model based on the association between fuzzy logic and training of artificial neural networks to recognize anomalies in transactions involved in the context of computer networks and cyberattacks. In addition to verifying the accuracy of the model, fuzzy rules were obtained through knowledge from the massive datasets to form expert systems. The acquired rules allow the creation of intelligent systems in high-level languages with a robust level of identification of anomalies in Internet transactions, and the accuracy of the results of the test confirms that the fuzzy neural networks can act in anomaly detection in high-security attacks in computer networks.

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References 133 · Cited by 16

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Metadata

Authors
de Campos Souza, P. V., Guimarães, A. J., Rezende, T. S., Silva Araujo, V. J., & Araujo, V. S.
Affiliations
  • CEFET-MG- Av. Amazonas, 5.253, Nova Suiça, 30421-169 Belo Horizonte, Brazil
  • Centro Universitário Una (BR)
  • Faculty Una of Betim- Av. Gov. Valadares, 640-Centro, 32510-010 Betim, Brazil
ORCID
Venue
AI
Publisher
MDPI AG
Published
2020-02-07
Volume
1
Issue
1
Pages
92-116
ISSN
2673-2688 (ISSN-L)
DOI
10.3390/ai1010005
OpenAlex
W3005388262
Cited by
16
References
133
Citations by year
2026: 1 · 2025: 1 · 2024: 1 · 2023: 7 · 2022: 1 · 2021: 2 · 2020: 3
FWCI
1.53
Type
journal article
Language
en
Open access
Licence
Locations
AI (publishedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Immune Systems Applications
  • Physical Sciences › Computer Science › Hardware and Architecture › Network Packet Processing and Optimization
Keywords
fuzzy neural network, anomaly detection, cyberattacks, network security, fuzzy rules, expert systems, transaction monitoring, intrusion detection

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CoChat. (2026). Citation check: Detection of Anomalies in Large-Scale Cyberattacks Using Fuzzy Neural Networks. https://app.cochat.ai/papers/10.3390/ai1010005
The paper
de Campos Souza, P. V., Guimarães, A. J., Rezende, T. S., Silva Araujo, V. J., & Araujo, V. S. (2020). Detection of Anomalies in Large-Scale Cyberattacks Using Fuzzy Neural Networks. AI. https://doi.org/10.3390/ai1010005