A Comprehensive Analysis of Machine Learning and Deep Learning Approaches towards IoT Security

Author:

Desanamukula Venkata Subbaiah1,Priyadarshini M Asha2,Srilatha D3,Rao K Venkateswara2,Kumari R V S Lakshmi4,Vivek Kolla5

Affiliation:

1. Lakireddy Bali Reddy College of Engineering,Department of CSE,Mylavaram,India

2. Vignan’s Lara Institute of Technology & Science,Department of CSE,Vadlamudi,India

3. Vasi Reddy Venkatadri Institute of Technology,Department of EEE,Namburu,India,522508

4. Gayatri Vidya Parishad College of Engineering for Women,Department of EEE,Visakhapatnam,India

5. QIS College of Engineering and Technology,Department of CSE,Ongole,India,523002

Publisher

IEEE

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2. Context-Aware Approaches in IoT-based Healthcare Systems using Deep Learning Techniques: A Study;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

3. A Review on Ensemble Model-Based Rainfall Prediction Techniques;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

4. An Extensive Analysis of Deep Learning-Based Human Activity Detection Techniques;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

5. Grape Leaf Disease Recognition: A Deep Learning and Machine Learning Techniques Overview;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

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