Botnet Detection and Mitigation Model for IoT Networks Using Federated Learning.

de Caldas Filho, Francisco Lopes; Soares, Samuel Carlos Meneses; Oroski, Elder; de Oliveira Albuquerque, Robson; da Mata, Rafael Zerbini Alves; de Mendonça, Fábio Lúcio Lopes; de Sousa Júnior, Rafael Timóteo

de Caldas Filho, Francisco Lopes; Soares, Samuel Carlos Meneses; Oroski, Elder; de Oliveira Albuquerque, Robson; da Mata, Rafael Zerbini Alves; de Mendonça, Fábio Lúcio Lopes; de Sousa Júnior, Rafael Timóteo.

Afiliação

de Caldas Filho FL; Electrical Engineering Department (ENE), Technology College, University of Brasília (UnB), Brasília 70910-900, Brazil.
Soares SCM; Electrical Engineering Department (ENE), Technology College, University of Brasília (UnB), Brasília 70910-900, Brazil.
Oroski E; Electrical Engineering Department (DAELT), Federal University of Technology-Paraná (UTFPR), Curitiba 80230-901, Brazil.
de Oliveira Albuquerque R; Electrical Engineering Department (ENE), Technology College, University of Brasília (UnB), Brasília 70910-900, Brazil.
da Mata RZA; Electrical Engineering Department (ENE), Technology College, University of Brasília (UnB), Brasília 70910-900, Brazil.
de Mendonça FLL; Electrical Engineering Department (ENE), Technology College, University of Brasília (UnB), Brasília 70910-900, Brazil.
de Sousa Júnior RT; Electrical Engineering Department (ENE), Technology College, University of Brasília (UnB), Brasília 70910-900, Brazil.

Sensors (Basel) ; 23(14)2023 Jul 11.

Article em En | MEDLINE | ID: mdl-37514600

Palavras-chave

DDoS; HIDPS; NIDS; deep learning; federated learning; fog computing

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google