SmartGuardML: ML-based MQTT Data Analysis Approach for Threat Prediction in Smart Homes-Reference-Cited by-同舟云学术

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SmartGuardML: ML-based MQTT Data Analysis Approach for Threat Prediction in Smart Homes

Published:2024-05-14 Issue: Volume: Page:76-81
ISSN:
Container-title:2024 8th International Conference on Smart Cities, Internet of Things and Applications (SCIoT)
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Author:

Patni Hrishita¹,Darji Jeenal¹,Darji Krisha¹,Gupta Rajesh¹,Tanwar Sudeep¹,Shahinzadeh Hossein²,Garg Deepak³

Affiliation:

1. Nirma University,Institute of Technology,Department of Comp. Sci. & Engg.,Ahmedabad,India

2. Amirkabir University of Technology Tehran Polytechnic,Department of Electrical Engg.,Tehran,Iran

3. SR University,School of Comp. Science and AI,Warangal,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10570096/10570097/10570099.pdf?arnumber=10570099

Reference14 articles.

1. Securing the Internet of Things via Blockchain-Aided Smart Contracts

2. A Hybrid Approach for the Detection and Classification of MQTT-based IoT-Malware

3. Attack Detection in IoT using Machine Learning

4. SENMQTT-SET: An Intelligent Intrusion Detection in IoT-MQTT Networks Using Ensemble Multi Cascade Features

5. Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study (MQTT-IoT-IDS2020 Dataset)

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