Real-Time Detection of IoT Anomalies and Intrusion Data in Smart Cities Using Multi-Agent System

Real-Time Detection of IoT Anomalies and Intrusion Data in Smart Cities Using Multi-Agent System

Analyzing IoT data is an important challenge in the smart cities domain due to the complexity of network traffic generated by a large number of interconnected devices: smart cameras, light bulbs, motion sensors, voice assistants, and so on. To overcome this issue, a multi-agent system is proposed to...

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Bibliographic Details
Main Author: Maria Viorela Muntean
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
IoT data
cybersecurity
smart city
multi-agent system
learning model
decision rules
Online Access:https://www.mdpi.com/1424-8220/24/24/7886
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