Work

A Machine Learning Approach for Traffic Anomaly Detection in NoC-based Manycores

Year: 2024

Type: conference-paper

DOI: 10.1109/sbcci62366.2024.10703991

Authors: Angelo Elias Dal Zotto, Fernando Gehm Moraes

Institution: Pontifícia Universidade Católica do Rio Grande do Sul

Language: English

Topic: Interconnection Networks and Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

OpenAlex ID: W4403279013

FWCI: 0.886

Cites: 20

Cited by: 2

Related to: 10