Enhancing Security and Energy Efficiency in Smart Energy Management Systems through IoT Device Detection and Machine Learning Techniques-Reference-Cited by-同舟云学术

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Enhancing Security and Energy Efficiency in Smart Energy Management Systems through IoT Device Detection and Machine Learning Techniques

Published:2024-07-11 Issue: Volume: Page:506-511
ISSN:
Container-title:2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)
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Author:

Algarni Mohammed Ali¹,Kraiem Naoufel²,Sakly Houneida³

Affiliation:

1. King Khalid University,College of Computer Science,Abha,Saudi Arabia,61413

2. ENSI, Manouba University, Campus Universitaire de la Manouba,RIADI Laboratory,La Manouba,Tunisia,2010

3. Sousse,Technopole, Sahloul,Center for Research on Microelectronics and Nanotechnology (CRMN),Sousse,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638790/10638839/10638911.pdf?arnumber=10638911

Reference11 articles.

1. Using the internet of things in smart energy systems and networks

2. A smart home energy management system using IoT and big data analytics approach

3. Fortifying IoT against crimpling cyber-attacks: a systematic review

4. Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids

5. Lighting Control System for Energy Management System and Energy Efficiency Analysis

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