A Review of Machine Learning Methods for IoT Network-Centric Anomaly Detection-Reference-Cited by-同舟云学术

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A Review of Machine Learning Methods for IoT Network-Centric Anomaly Detection

Published:2024-07-10 Issue: Volume:18 Page:26-31
ISSN:
Container-title:2024 47th International Conference on Telecommunications and Signal Processing (TSP)
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Author:

Nag Anindya¹,Hassan Md. Mehedi¹,Mandal Dishari²,Chand Nisarga²,Islam Md Babul³,Meena V. P.⁴,Benedetto Francesco⁵

Affiliation:

1. Khulna University,Computer Science and Engineering Discipline,Khulna,Bangladesh,9208

2. Adamas University,Department of CSE,Kolkata,India

3. University of Calabria,Department of DIMES,Cosenza,Italy

4. Amrita School of Engineering, Amrita Vishwa Vidyapeetham,Dept of EEE,Bangalore,India

5. University of ROMA TRE,SP4TE - Laboratory,Economics Department,Rome,Italy,00145

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10605887/10605765/10605928.pdf?arnumber=10605928

Reference33 articles.

1. Hybrid machine learning approach for anomaly detection

2. A review on machine learning for thermal comfort and energy efficiency in smart buildings;Islam,2023

3. Anomaly-Based Intrusion Detection Systems in IoT Using Deep Learning: A Systematic Literature Review

4. A Comprehensive Study of Anomaly Detection Schemes in IoT Networks Using Machine Learning Algorithms

5. Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

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