A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario
Author:
Affiliation:
1. Department of Software and Information Technology Engineering, École de Technologie Supérieure, Montreal, QC, Canada
Funder
CHIST-ERA-18-SDCDN-003-DRUID-NET Project “eDge computing ResoUrse allocatIon for Dynamic NETworks (DRUID-NET)”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09718208.pdf?arnumber=9718208
Reference33 articles.
1. Artificial Neural Network
2. IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT
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