Work

A Network Intrusion Detection System using Deep Learning against MQTT Attacks in IoT

Year: 2021

Type: conference-paper

Source: IEEE Latin-American Conference on Communications

DOI: 10.1109/latincom53176.2021.9647850

Authors: Fatemeh Mosaiyebzadeh, Luis Gustavo Araujo Rodriguez, Daniel Macedo Batista, R. Hirata

Institution: Universidade de São Paulo

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

OpenAlex ID: W4200254367

FWCI: 4.818

Cites: 16

Cited by: 44

Related to: 10